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Full text of "1948 Census of Business, Retail Trade. General Statistics part 2 and Merchandise Line Sales Statistics."

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(ES CENSUS OF 



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RETAIL TRADE-GENERAL STATISTICS 



liMMHWi 



LINE SALES STATISTICS 



81 '4172 



The List of Corrections for this Volume 
will be found on page 51 



081779—63 



KEFEREuCE COPY 



U. S. DEPARTMENT OF COMMERCE -nr^.. q- Q^^^v:y5 

CHARLES SAWYER, Secretary 

1952 JUN 3 PM 4 37 

BUREAU OF THE CENSUS 

ROY V. PEEL. Director (Appointed March 9. 1950) L I D I \ A l\ I 

J. C. CAPT, Director (Retired August 17, 1949) 



UNITED STATES CENSUS OF 

BUSINESS 
1948 

Volume II 

RETAIL TRADE— GENERAL STATISTICS, PART 2 

AND 

MERCHANDISE LINE SALES STATISTICS 



Inventories, Credit, Operating Types, Employment and Pay Roll, 

and Other Subjects 



Prepared by the Business Division 

under the supervision of 

William C. Truppner (to January 2, J 951) 

Harvey KaiUn (beginning January 2, 1951) 



Burea 



JLibrary 



UNITED STATES 

GOVERNMENT PRINTING OFFICE 

WASHINGTON : 1952 



For tale by the Superintendent of Documents, U. S. Government Printing Office, Washington 2S, D. C Price $4.50 (Buckram) 

in 



BUREAU OF THE CENSUS 




ROY V. PEEL, Director (Appointed March 9, 1950) 
J. C. CAPT, Director (Retired August 17, 1949) 

A. Ross EcKLER, Deputy Director 

Howard C. Grieves, Assistant Director 

Conrad Taeuber, Assistant Director 

Morris H. Hansen, Assistant Director for Statistical Standards 

Robert Y. Phillips, Executive Assistant to the Director 

Calvert L. Dedrick, Coordinator, International Statistics 

Frank R. Wilson, Information Assistant to the Director 

Business Division — W. C. Truppner, Chief (to January 2, 1951) 

Harvey Kaiiah, Acting Chief (beginning January 2, 1951) 
M. D. Bingham, Assistant Chief for Processing and Management 

Retail Trade Section — E. J. Engquist, Jr., Chief 
Wholesale Trade Section — John Albright, Chief 
Service Trade Section — R. C. Janoschka, Chief 
Statistical Methods Section — Max A. Bershad, Chief 

Administrative Services Division — Walter L. Kehres, Chief 
Agriculture Diviision — Ray Hurley, Chi:f 
Budget Officer — Charles H. Alexander 
Field Division — Lowell T. Galt, Chief 
Foreign Trade Division — J. Edward Ely, Chief 
Geography Division — Clarence E. Batschelet, Chief 
Governments Division — Allen D. Manvel, Chief 
Industry Division — Maxwell R. Conklin, Chief 
Machine Tabulation Division — C. F. Van Aken, Chief 
Personnel Division — Helen D. Almon, Chief 
Population Division — Howard G. Brunsman, Chief 



SUGGESTED IDENTIFICATION 

U. S. Bureau of the Census. U. S. Census of Business: 1948. Vol. FI: Retail Trade — Genera/ Statistics, 
Part 2, U. S. Government Printing Office, Washington, D. C, 1952 



This volume replaces the 1948 Census of Business Subject Bulletins 2-R-lO through 2-R-24 



PREFACE 

This, is one of a series of seven volumes presenting final results of the 1948 Census of Business for Retail, Wholesale, 
and Service Trades. Statistics for Retail Trade are contained m three volumes — Volume I, General Statistics, Part 1 ; 
Volume II, General Statistics, Part 2, and Merchandise Line wSales Statistics; and Volume III, Area Statistics. The 
Census, which was conducted by personal canvass of business establishments, was taken in accordance with the pro- 
visions of the act of June 19, 1948 (62 Stat. 478; 13 U. S. C. 121-123). This act provides for a Census of Business to 
cover the year 1948 and every fifth year thereafter. Previous business censuses covered the years 1929, 1933, 1935, 
and 1939. 

Important to the conduct of the 1948 Census of Business were the assistance of many private and public organiza- 
tions in the planning phase of the census and the excellent cooperation of some 3,000,000 business establishments in 
supplying the information required, as well as the work of the several thousand Census employees who participated in 
the field enumeration, editing, tabulation, and other census operations. 

The advice of trade associations, individual businessmen, research and marketing organizations, and Government 
agencies was invaluable in determining the feasibility of collecting various types of data and the methods for minimizing 
the burden of reporting, as well as in determining the types of information which would be of greatest value. Because 
of budgetary and other limitations, it was not possible to collect all of the data recommended by these groups. Timely 
publicity given to the Business Census by business organizations, trade papers, local newspapers, and radio stations aided 
greatly in infoi'ming businessmen of the nature and objectives of the census and facilitated the collection of census reports. 

The primary responsibility for the 1948 Census of Business was centered in the Business Division of the Census 
Bui'eau. Other divisions of the Bureau, particularly the Field Division and the Machine Tabulation Division, also 
had important functions in the census. 

The Business Census was taken under the supervision of William C. Truppner, Chief of the Business Division. 
Harvey Kailin, Assistant Division Chief, Program Branch, was appointed Acting Chief, January 2, 1951, to succeed Mr. 
Truppner who was detailed to the National Production Authority. Major contributions to the planning of the 1948 
Census of Business were made by William A. Ruff, Assistant Chief, who retired January 1, 1948, and Earl D. Krickbaum, 
Chief of the Procedures and Processing Section until November 1, 1948. 

The following personnel in the Business Division had important responsibilities in the census : 

Max A. Bershad was Chief of the Statistical Methods Section. Henry Wulft", in charge of Quality Control, worked 
on field enumerating techniques and office editing and tabulating procedures. Aaron Sabghir, in charge of Sampling 
Techniques, worked on the post enumeration survey and measures of census coverage and accuracy. 

Ernest J. Engquist, Jr., was Chief of the Retail Trade Section and James 0. Reid was Assistant Chief. Maurice 
Haven, James W. Turbitt, John W. Field, Victor 0. McNabb, and Jane E. McCuUough, participated in the planning 
and developing of report forms, publication plans, and manuals; the \vriting of texts; and the handling of technical 
problems arising during the processing of reports and tabulations. 

Louis Greenberg was responsible for review of all text material and table forms, and assisted on publication 
problems. 

M. D. Bingham, Chief of the Procedures and Processing Section, was subsequently appointed Assistant Division 
Chief, Processing and Management Branch. L. Parker Temple was Assistant Chief of the Procedures and Processing 
Section; Richard S. McCurdy, succeeded by R. M. Micoly in July 1949, and assisted by Jervis Braunstein, was in chai-ge 
of the Directory Subsection, responsible for receiving report forms and the handling of special problems connected with 
multiunit firms. Percival Ableman, succeeded by R. M. Micoly in March 1950, was Chief of the Retail Trade Processing 
Subsection, and was in charge of editing, coding, and tabulating Retail Trade reports. J. Stanley Werking participated 
in the design of forms and all problems of printing and preparation of material for publication. 

In the Field Division, Jack B. Robertson, assisted by Arthur Cook, directed the field work for the Census of Busi 
ness. Lancelot W. Armstrong, Machine Tabulation Division, assisted by Martha Ayres, was responsible for machine 
tabulation techniques and procedures; and Franldin L. Thatcher and Robert H. Brooks, Administrative Services Divi- 
sion, were responsible for the printing and publishing of the Census of Business. 



OTHER 1948 CENSUS OF BUSINESS VOLUMES' 



Volume I: RETAIL TRADE— GENERAL STATISTICS, PART 1 



Chapter 

1. United States Summary. 

2. Sales Size. 

3. Single Units and Multiunits. 

4. Employee Size. 

5. City Size. 



Chapter 

6. Legal Form of Organization. 

7. Warehouses, Other Auxiliary Units. 

8. Miscellaneous. 

9. Territories (Alaska and Hawaii). 



Volume III: RETAIL TRADE— AREA STATISTICS 

United States Summary ■ , 

Area Statistics. — Consists of 50 chapters: One for each State, one for the District of Columbia, and one for Territories (Alaska and 
Hawaii). 

Volume IV: WHOLESALE TRADE— GENERAL STATISTICS AND COMMODITY LINE SALES 

STATISTICS 



Chapter 

1. L'nited States Summary. 

2. Sales Size and Operating Expenses. 

3. Credit. 

4. Sales by Class of Customer. 

5. Legal Form of Organization. 

6. Employee Size. 

7. Trucks. 



Chapter 

8. Miscellaneous. 

9. Territories (Alaska and Hawaii). 

10. Commodity Line Sales — United States. 

11. Commodity Line Sales — Merchant Wholesalers. 

12. Commodity Line Sales — Manufacturers' Sales Branches. 

13. Commodity Line Sales — Assemblers. 

14. Petroleum Bulk Stations and Terminals. 



Volume V: WHOLESALE TRADE— AREA STATISTICS 

United States Summary 

Area Statistics. — Consists of 50 chapters: One for each State, one for the District of Columbia, and one for Territories (Alaska and 
Hawaii) . 

Volume VI: SERVICE TRADE— GENERAL STATISTICS 



Chapter 

1. United States Summary. 

2. Receipts Size. 

3. Employee Size. 

4. City Size. 

5. Legal Form of Organization. 

6. Trucks. 

7. Citv Statistics. 



Chapter 

8. Laundries, Cleaning and Dyeing Plants, and Related Services. 

9. Amusements. 

10. Hotels. 

11. Tourist Courts. 

12. Automobile Repair Services and Garages. 

13. Miscellaneous. 

14. Territories (Alaska and Hawaii). 



Volume VII: SERVICE TRADE— AREA STATISTICS 

United States Summary 

Area Statistics. — Consists of 50 chapters: One for each State, one for the District of Columbia, and one for Territories (Alaska and 
Hawaii). 



•See appendix F for a list of tables included in each chapter. 



GENERAL CONTENTS 



[Arabic page numbers in this report are keyed to chapter numbers by a decimal system. Thus, page 1.17 is page 17 in chapter 1 (United 
States Summary) ; page 6.57 is page 57 in chapter 6 (Legal Form of Organization). The first page of each chapter contains a detailed 
table of contents for that chapter] 

Introduction. .1 1 

The Post Enumeration Survey - - 5 

Summary of Findings 7 

The Use of Sampling in the Enumeration of Retail Stores 40 

List of Corrections 51 

Volume I: 

Chapter 1. United States Summary I. 01 

Chapter 2. Sales Size J 2.01 

Chapter 3. Single Units and Multiunits 3. 01 

Chapter 4. Employee Size 4. 01 

Chapter 5. City Size 5.01 

Chapter 6. Legal Form of Organization 6. 01 

Chapter 7. Warehouses, Other Auxiliary Units 7. 01 

Chapter 8. Miscellaneous 8. 01 

Chapter 9. Territories (Alaska and Hawaii) 9. 01 

Volume II: 

Chapter 10. Merchandise Inventories 10. 01 

Chapter 11. Credit 11.01 

Chapter 12. Selected Types of Operation 12. 01 

Chapter 13. Employment and Pay Roll 13. 01 

Chapter 14. Trucks 14.01 

Chapter 15. Miscellaneous 15. 01 

Chapter 16. Merchandise Line Sales — Food Group 16. 01 

Chapter 17. Merchandise Line Sales — Eating and Drinking Places 17. 01 

Chapter 18. Merchandise Line Sales — General Merchandise Group, General Stores 18.01 

Chapter 19. Mercljandise Line Sales — Apparel Group 19.01 

Chapter 20. Merchandise Line Sales — Furniture, Furnishings, Appliance Group 20. 01 

Chapter 21. Merchandise Line Sales — Automotive Group and Gasoline Service Stations 21. 01 

Chapter 22. Merchandise Line Sales — Lumber, Building, Hardware Group 22. 01 

Chapter 23. Merchandise Line Sales — Drug and Proprietary Stores 23. 01 

Chapter 24. Merchandise Line Sales — Miscellaneous Kinds of Business 24. 01 

Appendixes 25. 01 

Appendix A. The Census Act of June 19, 1948 25. 02 

Appendix B. Kind-of-Business Classification 25. 03 

Appendix C. Comparison of Kind-of-Business Classifications: 1948, 1939, and 1929 25.08 

Appendix D. Explanation of Terms 25. 12 

Appendix E. Report Forms 25. 16 

Appendix F. Contents of 1948 Census of Business Volumes 25. 32 

Appendix G. Pattern of Merchandise Lines and Index of Kinds of Business Using Related Lines 25. 39 

List of Maps: 

United States, by Geographic Division 8 

Standard Metropolitan Areas 38 

Standard Metropolitan Areas in the Northeastern Part of the United States 39 

Standard Metropolitan Areas (as defined by the Bureau of the Budget, June 5, 1 950) 37 

List of Charts: 

How the Retail Dollar Was Spent in 1948 . 10 

Retail Sales by Kind-of-Business Group: 1948, 1939, and 1929 11 

Metropolitan Areas and Their Central Cities — United States: 1948 13 

Retail Sales, by Kind of Business, by City-Size Group: 1948 15 . 

Sales of Single and Multiunit Stores as a Percent of Total Sales — Selected Kinds of Business : 1948 19 

Personnel of Retail Stores and Average Sales per Person— Selected Kinds of Business: 1948 24 

Charge Account Sales and Balances Due on Charge Accounts — United States : 1 948 29 

predit Experience of Retail Stores, Selected Kinds of Business — United States : 1948 .. , 30 



▼P 



INTRODUCTION 



Scope of the census and area covered. — The 1948 
Census of Business covers Retail, Wholesale, and Service 
Trades. Retail and Wholesale Trades in the Business 
Census correspond with minor exceptions to these trade 
divisions as described in the Standard Industrial Classi- 
fication Manual, issued May 1949, under the sponsor- 
ship of the Bureau of the Budget, Executive Office of 
the President. For a discussion of the census scope of 
Service Trade, see Introduction to Volume VI: Service 
Trade — General Statistics. All previous Business Cen- 
suses covered Retail and Wholesale Trades; Service 
Trades were first enumerated in the 1933 Census. 

The 1948 Census of Business includes business estab- 
lishments located in continental United States and the 
Territories of Alaska and Hawaii. Data for Puerto 
Rico, obtained in a Census of Business for 1949, are 
published separately. The 1939 Business Census cov- 
ered the same areas as the 1948 Census, and, in addition, 
Puerto Rico. All earlier Business Censuses were con- 
ducted only in continental United States. 

Period covered by the census. — The 1948 Census of 
Business is basically a report of business activity in the 
calendar year 1948. However, the relatively small pro- 
portion of establishments that maintained their records 
on a fiscal-year basis and were unable to report on a 
calendar-year basis, were permitted to use a fiscal year 
ending between September 30, 1948, and March 31, 
1949. In a very few cases, reports were accepted for 
fiscal years not falling within this range. Regardless 
of the fiscal year used, aH establishments were required 
to report employment and pay roll (except annual pay 
roll) for the pay periods specified on the report forms. 

Method of canvass. — The 1948 Census of Business 
was conducted primarily by means of field enumeration. 
For purposes of enumeration, 308 Census field offices 
were established with responsibility for canvassing the 
some 37,000 enumeration districts into which the Nation 
was divided. Full-scale field operations for the 1948 
Census of Business were begun near the end of May 1949, 
shortly following the principal appropriation of funds 
for the census. The field work was divided into two 
broad phases, each of which is described below. The 
listing of business establishments, phase 1, was com- 
pleted late in September, about four months after start- 
ing full-scale operations. The collection of report forms, 
phase 2, was substantially completed by the end of 
November 1949. 

Enumerators were required to list aU recognizable 
businesses (except medical, dental, and law ofiices, gov- 
ernment offices, and also farms), and in the course of 
listing, to go into each business establishment to record 
the name of the business and of the owner, general kind 
of business conducted, whether the establishment was 
part of a multiunit organization, whether (if a retail 
establishment) its 1948 sales volume was $100,000 or 

981778—52 1 



more, and other items required for subsequent opera- 
tions. Each establishment was listed by the enumerator 
as encountered while systematically canvassing each 
city block and each road or highway in rural areas in a 
preassigned pattern. A separate Listing Book (sec. IV of 
which is reproduced in appendix E) was used for each 
enumeration district. 

During the listing operation, phase 1, appropriate 
report forms were left with business establishments for 
subsequent return to Census District Offices by mail. 
Retail establishments which were parts of multiunit 
organizations or which had sales in 1948 of $100,000 or 
more were required to complete the Retail "long form," 
BC-21, as were one in ten of the single-unit businesses 
with 1948 sales of less than $100,000. Remaining small 
retailers were required to complete the "short form," 
BC-20. In a small proportion of cases (usually small 
retail or service businesses) the completed Census form 
was obtained by the enumerator in the course of the 
listing operation. In the case of business establish- 
ments which were units of multiunit organizations no 
report form was left for completion, unless requested by 
the establishment. In general, the reports for estab- 
lishments operated by multiunit organizations were 
prepared at the central offices of the organizations. The 
reports so obtained were checked against a card file 
prepared from enumerator listings, thus insuring com- 
pleteness of multiunit organization reporting. 

A large percentage of the business establishments 
with which reporting forms were left during the listing 
operation completed the forms and mailed them to the 
Census District Office without further contact from the 
Bureau. Where necessary, reminder letters were mailed 
to establishments which had not submitted their reports. 
Those establishments which did not file their report in 
response to the reminder letters were again visited by 
an enumerator who was instructed to secure the report. 

To insure that the reports received were not only usable 
but met Census quality requirements, a field office coding 
and editing operation was conducted. This operation, 
along with the follow-up activities to obtain reports not 
promptly submitted, became phase 2 of the field opera- 
tion. All reports which did not contain required infor- 
mation together with those which did not meet other 
quality standards were held in the field offices imtil a 
further check could be made with respondents and the 
reports corrected as necessary. 

Because the completeness of coverage of the census 
depended so largely on the quality of the work done by 
individual enumerators during phase 1 of the enumera- 
tion, considerable effort was expended in verifying and 
correcting this work. 

First, the work of each enumerator was checked in the 
field by a crew leader or supervisor by recanvassing a 
sample of the work. Wherever the listing was found to 

1 



THE POST ENUMERATION SURVEY 



To permit an appraisal of the accuracy of its pub- 
lished statistics, the Bureau of the Census conducted an 
intensive investigation, on a sample basis, of the 1948 
Census of Business enumeration. This investigation, 
known as the Post Enumeration Survey (PES), was 
designed primarily to measure the completeness of 
coverage of wholesale, retail, and service establishments 
in the 1948 Census. 

Strict precautions were taken to make the PES an 
independent and objective check of the census enumera- 
tion. The location of the sample areas, which the PES 
was to cover, was not revealed to the Bureau's field or- 
ganization until after the census enumeration had been 
certified as completed and records concerning the 
enumeration returned to Washington. 

Census concepts and procedures. — The 1948 Census 
of Business was defined as a census of "recognizable" 
establishments which would provide a measure of the 
volume of sales of such establishments in 1948 and of 
the number of their employees. "Recognizable" estab- 
lishments, for census purposes, were defined as all estab- 
lishments with one or more employees, whether or not 
"recognizable" as business places, as well as no-employee 
establishments which, because of appearance, sign or 
marking, were recognizable to enumerators as business 
places. 

The 1948 Census, by definition, excluded from the 
count of establishments those which were in business 
during 1948 but which went out of business before 
December 31, 1948. The 1948 sales of such establish- 
ments, referred to subsequently as "part-year" estab- 
lishments, also were omitted from the census except in 
a relatively few cases where a successor establishment 
included in its Census report its own 1948 sales volume 
and that of its predecessor, i. e., the "part-year" estab- 
lishment, and also in those cases where multiunit organ- 
izations supplied data on business units which had been 
discontinued during 1948. 

The census enumeration was initiated by a listing oper- 
ation in which Census enumerators in each of their 
enumeration districts were required to enter in a Listing 
Book the name, owner, address, major category of busi- 
ness, etc., for each recognizable place of business. Be- 
cause of a delay in the appropriation for the census, the 
full-scale listing operation did not begin until almost 
June 1949 and was not substantially completed until 
late September 1949. As will be indicated later, a por- 
tion of the census "undercoverage" is attributable to the 
unavoidable delay in the start of the listing operation. 



Analysis of PES data for coverage. — The program of 
analysis of PES data with respect to coverage has been 
designed to answer the following questions: 

1. What is the extent of census "undercoverage" resulting from 
the failure of Census enumerators to list business establishments? 

2. What is the extent of net census "undercoverage" resulting 
from the omission of estabhshments which were in business as of 
the end of 1948 but went out of business before the enumerator- 
listing operation was conducted and from the erroneous inclusion 
in the census of establishments which entered into business in 
1949? 

A separate PES report, planned for later issuance, will 
provide additional measures including (1) a measure of 
the 1948 sales volume not in the census because of the 
definition excluding "part-year" businesses, (2) a meas- 
ure of differences in the 1948 sales and employment 
reported in the census and, subsequently, in the PES, 
and (3) a measure of differences between the census and 
PES in establishment classification (that is, whether an 
establishment was classified as "retail" or as "other 
than retail"). 

Design and procedures of the PES. — The PES had the 
following features which were introduced with the aim of 
assuring accurate measurement of coverage error: 

1. The area sample for the PES consisted of about 2,500 small 
areas (segments) ranging in size from part of a building and part 
of a city block to an entire town or village. These segments were 
located in about 530 counties throughout the United States. 
This sample, drawn on a probability basis, was designed to include 
about 1 in 200 of the retail establishments in the United States. 
Within the sample segments, enumerators were instructed to make 
a thorough field search for establishments missed in the census. 
As an aid to this search, special mapping materials, including San- 
born maps which show and describe individual structures, were 
provided. 

2. The reenumeration procedure was entrusted to a relatively 
small group of highly selected and specially trained interviewers. 
Prior to the canvass of each segment, the interviewer was provided 
with the general Census listings for the enumeration district in 
which the segment was located. He was also provided with Social 
Security Administration (BOASI) establishment cards for the dis- 
trict. In canvassing the segment the interviewer had to account 
for all in-segment addresses whether or not they were included on 
the Census listings or in the BOASI cards. Also, the interviewer 
had to write, in effect, a business history of the segment for the 
period January 1, 1948, to the date of his recanvass. He was 
required to obtain a listing of all the occupants of each business 
address in the segment for that period. The interviewer was 
instructed to obtain for each occupant sufficient information on 
the nature of the business activitj' to permit a classification into 
four major types: (i) wholesale, (ii) retail, (iii) service, (iv) other, 
i. e., not in the scope of the Census of Business. Finally, for each 
occupant in the first three classes, the interviewer was required 
to obtain from the best possible respondent information on 1948 
sales and employment. 



6 



RETAIL TRADE 



3. The materials obtained during the PES field work were thor- 
oughly reviewed and a careful reexamination made of the Census 
listings to make sure that every establishment treated as missed in 
the census or erroneously included properly belonged in these 
categories. 

PES findings on coverage of retail establishments. — 

Tlio estimated imdercoverage in the census enumeration 
of retail establishments, because of (1) the failure of 
enumeratoi's to list retail establishments — "enumerator 
misses" and (2) omission of establishments in business 
on December 31, 1948, which went out of business in 
1949 before the Census listing was begun — "late start 
of listing," was determined through the PES analysis to 
be 1.3 percent of the 1948 sales volume and 0.9 percent 
of the November 15, 1948, employment. 

The PES data further indicate that this imdercoverage 
was produced primarily by the failure to canvass or list 
small establishments. The omitted retail establish- 
ments had, on the average, 1.0 paid employees on 
November 15, 1948, as against 3.9 paid employees for 
the enumerated retail establishments. Saleswise, the 
situation is similar. The omitted retail establishments 
had, on the average, sales of $26,000 in 1948 as against 
$74,000 for the enumerated retail establishments. In 
terms of nimaber of retail establishments they repre- 
sented 3.6 percent of the 1948 Census total. 

The following table indicates the undercoverage 
caused by "enumerator misses" and by "late start of 
listing," respectively: 





Undercoverage of retail establish- 
ments (as percent of census total) 


Component of undercoverage 


Sales 


Employ- 
ment 


Number of 
establish- 
ments 


Total --- - 


1.3 


0.9 


3.6 






Enumerator misses _ 


0.5 
0.8 


0.2 
0.7 


1.8 




1.8 







Interpretation and limitations of PES undercoverage 
findings. — The PES findings are subject to the following 
limitations : 

1. The estimates of undercoverage of the total number of 
establishments is subject to a sampling error of approximately 
0.3 percent; that is, the chances are two out of three that the 
"percent of Census total" estimate will not differ by more than 
0.3 percent, absolutely, from the true value. The sampling errors 
of the estimates of undercoverage of sales and employment are 
approximately 0.3 and 0.2 percent, respectively 

2. The "undercoverage" measures above refer only to losses 
occasioned by "enumerator misses" and the "late start of listing." 
These measures do not account for any differences which a change 
of census definition might cause (e. g., a change which would 
include establishments which went out of business in 1948) ; or 
for any differences resulting from differences in census and PES 
scope and kind-of-business classifications; or from differences in 
the reporting to the census and PES of 1948 sales volume or 
employment. 

Measures of undercoverage of wholesale and service 
establishments will be found in the PES discussion in 
volumes IV and VI, respectively, of the 1948 Census. 



SUMMARY OF FINDINGS 

CONTENTS 
Text 

Page 

Summary Statistics 9 

Analysis by Sales Size 14 

Single Units and Multiunits and Types of Operation 17 

Legal Form of Organization 21 

Personnel and Pay Roll in Retail Trade 22 

Merchandise Inventories 26 

Credit Sales and Balances Due 28 

Merchandise Line Sales 32 

Text Tables 

Table 

A— Retail Trade: 1929, 1939, and 1948 9 

B— Stores, Sales, and Population— United States: 1929, 1939, and 1948 9 

C— Grocery Stores— United States: 1948, 1939, and 1929 9 

D — Counties by Number of Retail Stores: 1948 13 

E — Percentage of Stores, Sales, and Population in Central Cities, by Metropolitan Area Size Groups 14 

F— Retail Trade, 1948 and 1939, by City Size 14 

G — Department Store Sales, by Sales-Size Class: 1948 16 

H — Selected Types of Operation — United States, by Single Units and Multiunits : 1948 18 

I — Proportions of Sales Through Stores of 4 or More Store Multiunit Organizations — United States, by Selected Kinds of Busi- 
ness: 1948, 1939, and 1929 18 

J — Firms With 4 or More Retail Stores Compared With 4 or More Store Multiunits — United States: 1948 18 

K — Stores and Sales of Identical Grocery Firms — United States: 1948 and 1939 19 

L — Legal Form of Organization — United States: 1948 21 

M— Legal Form of Organization— United States: 1948 and 1939 22 

N— Retail Trade Personnel: 1948, 1939, and 1929 22 

0— Percent of Total Paid Employees in Retail Trade, by Kind-of-Business Group: 1948, 1939, and 1929 22 

P — Stores, Sales, and Paid Employees, by Employee Size : 1948 and 1939 25 

Q — Seasonal Employment in Retail Trade, by Kind-of-Business Group : 1948 25 

R — Merchandise Inventories in Retail Stores and in Warehouses of Retail Multiunit Organizations — United States: 1948 26 

S — Motor Vehicle (New and Used) Dealers — Proportion of Sales and Merchandise Inventories, by Sales Size: 1948 26 

T — -Department Stores — Ratio of Sales to Inventory, by Sales Size : 1948 26 

U — Merchandise Inventories at Cost, End of Year in Single and Multiunit Stores in the Apparel Group: 1948 27 

V— Sales-Inventory Ratios: 1948, 1939, and 1929 .. 27 

W — Analysis of Cash and Credit Sales — -United States : 1948 28 

X— Cash and Credit Sales: 1948, 1939, and 1929 28 

Y — Cash and Credit in Grocery Stores, With Fresh Meat: 1948 31 

Z — Credit in Furniture Stores — United States: 1948 31 

AA— Furniture Stores, With Credit Sales: 1948 31 

BB — Percentage of Stores and Sales in the Merchandise Line Sales Tabulations — United States: 1948 33 

CC — Percentage of Sales of Department Stores Accounted for by Major Departments: 1948 34 

DD — Cars and Trucks Sold by Motor Vehicle Dealers and Farm Equipment Dealers — United States: 1948 35 

7 




8 



RETAIL TRADE 




SUMMARY OF FINDINGS 



Summary Statistics 

The volume of trade in retail stores, which totaled 
$48,329,652,000 in 1929, declined nearly 50 percent to 
about $25 billion in 1933, increased to $32,791,212,000 
by 1935, and reached $42,041,790,000 in 1939. By 1948 
the volume of trade in retail stores reached $130,520,- 
548,000, more than three times the 1939 volume. 

There was a progressive increase in the number of 
stores dm-ing the earlier decade, from 1,476,365 in 1929, 
to 1,587,718 in 1935 and 1,770,355 in 1939. However, 
in 1948 the number of stores (1,769,540) was about the 
same as in 1939. 

Making adjustment for the difference in retail prices 
between 1929 and 1948, the physical volume of goods 
sold through retail stores in 1939 is found to be only 
slightly higher than in 1929. However, the physical 
volume had increased more than 50 percent in 1948 



over the 1939 figures, 
below. 

Table A. — Retail 


This ] 


Ls illustrated in 


table A, 
8 






Trade: 1929, 1939, and 194 




stores 








Census year 


Sales 

entire year 

(thousand 

dollars) 


U. S. De- 
partment 
of Com- 
merce 
Index 
(1935- 
1939=100) 


Equivalent 
sales in 
terms of 
1935-39 






prices 
(billion 
dollars) 


1929 . . 


1, 476, 365 
1, 770, 355 
1, 769, 540 


48, 329, 652 

42, 041, 790 

130, 520, 548 


120.9 
99.0 
192.7 


40 


1939._ 


42 


1948 


68 



The small increase in the physical volume of retail 
sales between 1929 and 1939 was less than the growth of 
the population. (See table B, below.) 

Table B. — Stores, Sales, and Population — United States: 
1929, 1939, AND 1948 



Census year 


Stores 
(number) 


Sales, 
entire year 
(thousand 

dollars) 


Population I 


1929 


1, 476, 365 
1, 770, 355 
1, 769, 540 


48, 329, 652 
42, 041, 790 
130, 520, 548 


122, 775, 046 


1939 


131, 669, 275 


1948 


150, 697, 361 







' Bas6d on nearest Decennial Censuses of Population, 1930, 1940, and 1950, respec- 
tively. 

During 1948, about $866 was spent in retail stores 
for each man, woman, and chUd in the continental 
United States. This figure is based on the 1948 total 
retail sales and the 1950 population count. The com- 
parative sums for 1939 and 1929, using the 1940 and 
1930 population figures, were $319 and $394, respectively. 
Because there has been a steady growth in the popula- 

981778—52 2 



tion from year to year, the actual per capita sales in 
each of the census years is slightly higher than the 
figures presented above. 

For each dollar spent in retail stores in 1948, approxi- 
mately 40 cents was spent in the convenience goods 
stores primarily selling food for off- or on-premise con- 
sumption, gasoline, drugs and drug sundries, tobacco 
products, and newspapers and magazines. This com- 
pared with 44 cents spent in such stores in 1939 and only 
35 cents in 1929. 

Changes in Specific Kinds op Business 

The changes in the level of Retail Trade over the last 
two decades does not reflect the changes which took 
place in the individual kinds of business over the same 
period. Some observations on the changing pattern of 
retail distribution follow. 

Grocery stores. — Grocery stores in 1948 accounted for 
one-fifth of all retail stores and sales, a proportion not 
significantly different from 1939 and 1929. However, 
the proportion of grocery stores which sell fresh meat as 
distinguished from those which do not, has changed 
considerably since 1929. (See table C, below.) 

Table C. — Grocery Stores — United States: 1948, 1939, 
AND 1929 



Kind of business 


Stores (number) 


Sales, entire year (thousand dollars 


1948 


1939 


1929 


1948 


1939 


1929 


Grocery stores, total 

Without fresh meat— - 

Percent of total 

With fresh meat 

Percent of total 


377, 939 
154, 277 

41 
223, 662 

59 


387, 337 
200, 303 

52 
187, 034 

48 


307, 425 
191, 876 

62 
115, 549 

38 


24, 770. 123 

4, 026, 835 

16 

20, 743, 288 

84 


7, 721, 753 
2, 225, 435 

29 
5, 496, 318 

71 


7, 352, 791 
3, 449, 129 

47 
3, 903, 662 

53 



Over the last 20 years the number of grocery stores 
selling fresh meat has nearly doubled, and in 1948 sales 
through combination stores accounted for 84 percent of 
all sales through grocery stores. Even though the total 
number of grocery stores declined from 1939 to 1948, the 
number of grocery stores selling fresh meat showed a 
substantial increase. 

The increase in combination grocery stores since 1929 
is related to the decline in the number of meat markets or 
"butcher shops" during the same period. In 1929, meat 
markets numbered 43,788; by 1939 the number had 
dropped to 35,630, and in 1948 there were only 24,242 
such stores. 

Eating and drinking places. — In 1948, nearly $11 bil- 
lion was spent in eating and drinking places. About one- 

9 



10 



RETAIL TRADE 



HOW THE RETAIL DOLLAR WAS SPENT IN 1948 




KIND OF BUSINESS 
GROUPS 



FOOD GROUP 21i 



AUTOMOTIVE GROUP 15< 



GENERAL MERCHANDISE 
GRP, GENERAL STORES. 



134 



LUMBER, BUILDING, 

HARDWARE GROUP 9^ 

EATING ANP DRINKING 

PUCES Sit 

APPAREL GROUP Bi 

GASOLINE SERVICE 

STATIONS St 

FURNITURE, FURNISHINGS, 

APPLIANCE GROUP.. 5it 

DRUG, PROPRIETARY STORES, ^i 
OTHER RETAIL STORES lOi^ 



SELECTED KINDS OF 
BUSINESS 



'""■"'■•"•""•■"**"" 



cz 



-*■ ^ 



I9< - GROCERY STORES 



init - MOTOR VEHICLE DEALERS 



Si - DEPARTMENT STORES 



Uit - LUMBER, BUILDING MATERIALS DEALERS 

5t - EATING PLACES 
3< - DRINKING PUCES 

- WOMEN'S READY TO WEAR STORES 



Si - GASOLINE SERVICE STATIONS 

^ 3< - FURNITURE, FURNISHINGS STORES 
^ 3i - DRUG AND PROPRIETARY STORES 



3 2i - LIQUOR STORES 

3 2< - FEED, FARM, GARDEN SUPPLY STORES 



half of this sum was spent in restaurants and cafeterias 
which provided full table service, while just over $1 
billion was spent at lunch counters and refreshment 
stands. The remaining $4 billion was spent in drinking 
places whose primary source of receipts was from the sale 
of alcoholic beverages, but which nevertheless sold 
considerable amounts of food for on-premise consumption. 

The number of restaurants and cafeterias in 1948 was 
131,190, one-third more than the number of such places 
in 1939 and 1929. The 1948 figure included 998 caterers. 
These establishments were not identified separately in 
1939 or 1929, but were included in "bakery product 
stores." Drinking places in 1948 numbered 152,433, a 
sizable increase over the number of such places in 1939. 
There were no drinking places counted in the 1929 
census, since the prohibition amendment was still in 
eflFect. 

General stores. — The classification "general stores" 
is rapidly declining in importance as a separate kind of 
business. In 1948 there were only 21,557 stores classi- 
fied as "general stores" compared to 39,688 in 1939, and 
104,089 in 1929. The 1948 sales volume of $1,159,361,- 
000 was an increase over the $810,342,200 in 1939, but, in 
terms of physical volume of merchandise sold, was 
actually a decrease. The 1929 volume was $2.5 billion, 
more than twice the 1948 figure. 

It is probable that some part of this decrease in the 
classification "general stores" was due to a tendency on 



the part of these stores to sell larger proportions of 
groceries, and thus be classified as "grocery stores" 
rather than "general stores." 

Department stores. — Sales of department stores in 
1948 totaled $10,644,747,000, an average of more than 
$4,000,000 for each of the 2,580 stores. These sales were 
approximately three times greater than the department 
stores sales in 1939 and more than twice as great as the 
1929 total. 

The count of department stores in 1948 was consider- 
ably less than the count in 1939 and 1929. Some of the 
changes were due to a change in the definition of what 
constitutes a department store as described in Appendix 
B, Kind-of-Business Classifications. However, a con- 
siderable portion of the difference was brought about as a 
result of better reporting for individual stores. In 1939 
a few large companies operating a number of stores in 
this field were unable to report merchandise line sales on 
an individual store basis, so that all stores of these 
companies were classified as department stores since that 
was the pattern for the company as a whole. In 1948, 
the companies were able to provide merchandise line 
sales on an individual store basis, so that each store 
could be classified independently. This resulted in 
many of these stores being classified in 1948 as other than 
department stores. 

Gasoline service stations. — Retail establishments clas- 
sified as "gasoline service stations" in 1948 numbered 



SUMMARY OF FINDINGS 



11 



RETAIL SALES BY KIND OF BUSINESS GROUP! 
1948, 1939, AND 1929 



OILLIOhS OF DOLLARS 



BILLIONS OF DOLLARS 



20 



IJO 



193 9:' 



1929 

m 



30 



20 



10 



FOOD GROUP 



EATING AND DRINKING 
PLACES 



GENERAL MERCHANDISE 
GROUP, GENERAL STORES 



APPAREL GROUP 



FURNITURE, FURNISHINGS, 
APPLIANCE GROUP 



31 



20 



20 



10 



WMm 



mmm 



r^rrM, 



AUTOMOTIVE GROUP 



GASOLINE SERVICE 
STATIONS 



LUMBER, BUILDING, 
HARDWARE GROUP 



DRUG AND PROPRIETARY 
STORES 



OTHER RETAIL STORES 



12 



RETAIL TRADE 



188,253, a decrease of 22 percent from the 241,858 such 
places in 1939, but still considerably higher than the 
1929 figure. At the same time the sales volume of 
gasoline service stations totaled $6,483,301,000, an 
increase of 130 percent over the 1939 figui-e. 

In 1939 the average size of gasoline service stations, 
based on the volume of sales, was $11,600. By 1948 the 
average size had increased to $34,400, indicating that 
even allowing for price increases over the decade, gasoline 
service stations in 1948 were considerably larger than 
in 1939. 

Drug and proprietary stores. — For the first time in 
the Census of Business, separate information was 
obtained on the activities of proprietary stores (defined as 
drug stores without prescription departments). In all 
previous censuses, proprietary stores were not separately 
identified, but were included in the category "drug 
stores." 

In 1948, out of the 55,796 drug and proprietary stores, 
8,841 were classified as proprietary stores. These had 
sales of $334,768,000, compared to the total sales of 
$3,678,463,000 for the 46,955 drug stores. This would 
indicate that in terms of dollar sales, drug stores, on the 
average, were twice as large as proprietary stores. 

AU the decrease in the number of drug and proprietary 
stores from 1939 to 1948 was in stores not operating a 
fountain. There were 16,072 of these in 1948 compared 
to the 18,451 in 1939, which itself was a sharp decrease 
from 23,414 such stores in 1929. Drug and proprietary 
stores with fountain, on the other hand, increased from 
34,844 in 1929 to 39,452 in 1939. In 1948 they increased 
slightly to 39,724. 

Other Changes in the Distribution Pattern 

Perhaps the most significant change in the distribution 
pattern was the great increase in the number of stores 
selling such specialty goods as furniture, appliances, and 
automobiles. Between 1929 and 1939 there was a 
general decline in the number of stores specializing in 
these lines. During the war and for a period following it, 
production of many of these lines had been curtailed, or 
discontinued. When production was again started, many 
new specialty stores were opened. In 1948 the number 
of stores primarily selling these lines was greater than 
the number of similar stores in 1929. 

There was a corresponding increase in the volume of 
sales through these stores. In the "fiu-niture, furnish- 
ings, appliance group," sales, since 1939, advanced from 
$1,733,257,000 to $6,914,179,000, an increase of nearly 
300 percent. This was much greater than the increase for 
total Retail Trade. Similarly, sales of dealers in the 
automotive group advanced from $5,548,687,000 to 
$20,104,054,000, an increase of 262 percent. 

The number of stores specializing in apparel increased 

from 106,959 to 115,246 since 1939, and their sales 

s' increased from $3,258,772 to $9,803,218. This increase in 



sales was just a little less than the average increase for 
all retail stores. 

The results of the 1948 census indicate that the total 
number of retail stores was about the same as in 1939 
and in some kinds of business decreased, but that the 
average size of stores has increased. This was particu- 
larly true for stores in the "food group," for "department 
stores," and for "gasoline service stations." 

The Geographic Distribution op Retail Trade 

Stores in the East North Central Division accounted 
for 22 percent of the total volume of Retail Trade in the 
United States, more than any other geographic division. 
However, a little less than 20 percent of all retail stores 
were located in this division. The Middle Atlantic 
Division accounted for more stores than any other 
division, 22.3 percent, but they only accounted for 
21.6 percent of aU sales. 

As in the period between 1929 and 1939, retail trade in 
the southern and western divisions increased more rapidly 
than trade in the remainder of the country. While for the 
country as a whole, there was a slight decrease in stores, 
the South Atlantic, East South Central, West South 
Central, Mountain, and Pacific Divisions all showed an 
increased number of stores; while the New England, 
Middle Atlantic, East North Central, and West North 
Central Divisions all showed decreases. 

For all divisions, there were substantial increases in 
sales from 1939 to 1948. However, the increases in the 
southern and western divisions were considerably higher 
than the national average of 210 percent, ranging from 
227 percent for the Mountain Division to 252 percent 
for the West South Central Division. On the other hand, 
the increases in the New England and Middle Atlantic 
Divisions fell far short of the increase for the country as a 
whole; that for the East North Central Division was 
approximately the same as for the United States; while 
the increase for the West North Central Division was a 
little higher. 

The increase in sales of retail stores in the western 
region is associated with the rise in population in this 
section of the country. However, in the southern divi- 
sions, where the population increase was a little less 
than the national average, other factors were effective. 

Eight States accounted for more than 50 percent of the 
total sales in retail stores during 1948. These States 
were, in order of volume of sales. New York, California, 
Pennsylvania, Illinois, Ohio, Texas, Michigan, and New 
Jersey. However, as pointed out above, although all 
States showed a considerable increase in sales over 1939 
the increases in the industrialized northeastern States 
were well below the national average. The lowest per- 
centage increase, 148, was in Massachusetts; while 
New York State showed an increase of only 162 percent. 

The North Central States, all showed larger percent- 
age increases, with the largest increases being in those 



SUMMARY OF FINDINGS 



13 



States which are predominantly agricultural, such as 
North Dakota, South Dakota, Nebraska, and Kansas. 

With the exception of Maryland and the District of 
Columbia, all States in the southern divisions showed 
larger than average increases. The increase in the Dis- 
trict of Columbia was only 176 percent, well below the 
210 percent for the country as a whole, while for Mary- 
land it was 209 percent, just about average. Southern 
States with the largest percentage increases were Florida, 
281 percent; Alabama, 276 percent; and Arkansas, 263 
percent. 

Percentage increases in the Mountain States varied 
from the low of 171 in Montana to the highest percent- 
age increase of all States, 306 in Arizona; while the in- 
creases in the Pacific States were all well above the 
average for the Nation. 

County Distribution 

Of the 3,101 counties and independent cities in the 
United States, only 47 had 5,000 or more retail stores in 
1948. On the other hand, 1,379 counties had fewer than 
200 stores and 155 had fewer than 50. In terms of dollar 
sales, 38 percent of all retail trade was concentrated in 
the 47 top counties, and another 29 percent was accounted 
for by the next 239 counties, which had 1,000 to 4,999 
stores in 1948. The 1,379 counties with fewer than 200 
stores accounted for less than 6 percent of the Retail 
Trade dollar. 



Table D. — Counties by Numbee of Retail Stores: 1948 





Counties 


Stores 


Sales, entire year 


Size class 
(number of stores) 


Num- 
ber 


Per- 
cent of 
total 


Number 


Per- 
cent of 
total 


Amount 

(thousand 

dollars) 


Per- 
cent of 
total 


Total, all counties, 


3,101 


100 


1, 769, 540 


100 


1.30, 520, 548 


100 


Fewer than 50 stores 


155 
368 
856 
1,088 
348 
151 
88 
47 


5 
12 
28 
34 
11 
5 
3 
2 


4, 692 
28, 077 
125,384 
.341,941 
236, 189 
205, 067 
264, 161 
564,029 


(') 
2 
7 
19 
13 
12 
15 
32 


19.5, «i8 
1, 249, 227 
5, 8.52, 876 
19, 298, 261 
15, 828, (J03 
1.5, 951, 218 
22, 265, 902 
49, 879, 933 


(') 


50-99 stores 


1 


100-199 stores. 


4 


200-499 stores 


16 


500-999 stores . . . 


12 


1,000-1,999 stores 


12 


2.000-4,999 stores 


17 


5,000 or more stores 


38 







I Less than H of 1 percent. 

Metropolitan Area Concentration 

In order to provide another tool for the measurement 
of trade concentration, considerable attention has been 
given to standard rnetropolitan areas in the Census 
of Business tables. 

Data for 147 such areas are presented. These areas 
accounted for 54 percent of the total population of the 
United States, 53 percent of all retail stores, and 62 
percent of the total sales volume. The average per 
capita sales for all standard metropolitan areas combined 
was $987, as compared to the $866 for the United States 
as a whole. 

Approximately 58 percent of the inhabitants of the 
standard metropolitan areas lived in the central cities. 



METROPOLITAN AREAS AND THEIR CENTRAL CITIES— UNITED STATES: 1948 



PERCENTAGE OF SALES FOR SELECTED KINDS OF BUSINESS 

PERCENT 



DEPARTMENT STORES 



WOMEN'S READY-TO-WEAR STORES 



1 20 


DO 


60 


no 


100 


'sales in central c ities 


^B 



VARIETY STORES 



MOTOR VEHICLE DEALERS 



GROCERY STORES 



6AS0LINE SERVICE STATIONS 



FARM EQUIPMENT DEALERS 



FEED. FARM, GARDEN SUPPLY 
STORES 




14 



RETAIL TRADE 



However, more than 71 percent of the sales in the metro- 
poHtan areas were made by stores in the central cities. 
This gives some indication of the extent to which people 
living on the fringes of the standard metropolitan areas 
come to the cities to make their purchases. Fm'ther 
evidence of this is indicated hy the higher per capita 
sales of $1,211 in the central cities compared to the per 



capita sales of $987 for the areas as a whole. 

Table E, below, groups the standard metropolitan 
areas according to the total population of the areas. 
Thei'e is a very close relationship between the population 
size and the total sales volume in the areas, with some 
slight tendency toward a greater concentration of sales 
in the larger metropolitan areas. 



T,\BLE E. — Percentage of Stores, Sales, and Population in Central Cities, by Metropolitan Area Size Groups 





The metropolitan area 


Central cities 


Percentage in central cities 


Metropolitan area size group 


Stores 


Sales 

(thousand 

dollars) 


Popula- 
tion,' 
1950 


Stores 


Sales 

(thousand 

dollars) 


Popula- 
tion,! 
1950 


Stores 


Sales 


Popula- 
tion,! 
1950 


All metropolitan areas - . , 


932, 124 


80, 898, 778 


81,929,969 


595, 942 


57, 747, 493 


47, 709, 008 


63.9 


71.4 


58.2 






Metropolitan areas with a population of— 

3 000 000 or more -- -- 


327, 776 
186, 481 
125, 205 
163, 679 
128, 983 


26, 708, 544 
17, 722, 028 
11, 972, 175 
13, 768, 343 
10, 727, 688 


26, 307, 350 
17, 845, 669 
11, 803, 783 
14, 477, 929 
11, 495, 238 


210, 439 
110,099 
84, 644 
99,281 
90, 479 


17, 677, 322 
11, 763, 858 

9, 338, 777 
10, 193, 900 

8, 773, 636 


16, 202, 325 
9, 344, 750 
7, 254, 824 
7,810,911 
7,096,198 


64.2 
59.6 
67.6 
60.7 
70.1 


66.2 
66.4 
78.0 
74.0 
81.8 


61.6 


1,000.000-2,999,999. -. ._ 


52.4 


500 000-999.999 


61.5 


250,000-499,999 _ .. 


54.0 


Less than 250,000 - .-. . _ 


61.7 







' Based on advance 1950 population estimates. 



When the sales of the central cities for these same size 
groups are examined, it is seen that, whereas in the larg- 
est metropolitan areas the central cities, with 62 percent 
of the population, account for 66 percent of the sales, in 
the group of smallest metropolitan areas, the central 
cities account for 82 percent of the sales and have the 
same proportion of the population as the central cities 
in the largest metropolitan areas. Thus, consumers in 
the smaller metropolitan areas are more apt to do their 
buying ir the central cities than are consumers in the 
larger metropolitan areas. 

This does not hold for all types of merchandise. For 
example, the distribution of sales in food stores and other 
convenience-goods stores has a close relationship to the 
population in the central cities and in the fringe areas 
for all metropolitan areas. It appears to be mainly the 
specialty goods stores that draw the consumers to the 
central cities to a much greater extent in the smaller 
areas than in the larger areas. 

City-Size Distribution 

It is not possible to present any detailed kihd-of- 
business tabulations for small localities. However, by 
combining the data for these small localities with the 
data for localities of similar size, analyses of the distri- 
bution pattern for such city -size groups can be made. 

Table F, below, compares retail sales volume for eight 
city-size groups for the two census years, 1948 and 1939. 
The proportion of Retail Trade accounted for by stores 
in the large cities (250,000 inhabitants or more) has 
dropped almost 3 percent during the last decade. The 
corresponding increase in retail sales is not concentrated 
in any one city-size group, the largest relative increases 
being in the 100,000-249,999 group and in the group "less 
than 2,500." 



Table F. — Retail Trade, 1948 and 1939, by City Size 



City-size group (number of inhabitants) 


Sales (thousand dollars) 


Percentage dis- 
tribution 




1948 


1939 


1948 


1939 


United States, total _ 


130, 520, 548 


42, 041, 790 


100.0 


100.0 






500,000 or more --. 


30, 283, 938 
9, 882, 652 
12, 475, 239 
10, 958, 412 
26, 268, 933 
9, 662, 087 
7. 039, 161 
23, 950, 126 


10, 229, 426 
3, 936, 086 
3, 748, 761 
3, 471, 761 
8, 040, 422 
3, 019, 582 
2, 340, 658 
7, 255, 094 


23.2 

7.6 
9,6 
8.4 

20.1 
7.4 
5.4 

18.3 


24.3 


250,000-499,999 


9.4 


100,000-249,999 


8.9 


50,000-99,999 


8.3 


10,000-49,999 


19.1 


5,000-9,999 


7.2 


2,500-4,999 


5.6 


Less than 2,500 


17.2 







Analysis by Sales Si2;e (Tables 2A to 2G) 

In all sales-size analyses of 1948 Census of Business 
data based on the complete enumeration of retail stores, 
stores which were not operated the entire year have been 
segregated and information on them shown separately. 
This differs from the practice in 1939 and previous cen- 
suses, where the "part-year" stores were not identified 
separately. The effect of this method of analysis in the 
earlier censuses was to exaggerate the smaller sales size 
classes, since most of the part-year stores fell into these 
smaller classes. 

The part-year stores in 1948 numbered 249,111, ap- 
proximately 14 percent of all retail stores, but they ac- 
counted for only 5 percent of the total sales. About 
one-half of these part-year stores had sales of less than 
$10,000. To have included them in the regular sales- 
size analyses would have resulted in a distortion of the 
sales-size classes below $10,000. 

To aid in the comparison of 1948 sales-size data with 
sales-size data for previous censuses, an analysis of the 
part-year stores by sales size and kind of business is 
presented for the United States. For aU other areas the 
part-year stores are not analyzed by sales size. 



SUMMARY OF FINDINGS 



15 



RETAIL SALES, BY KIND OF BUSINESS, BY CITY-SIZE GROUP: 1948 

(TOTAL SALES IN EACH CITY-SIZE BROUP = 100 PERCENT) 
PERCENT 



10 



20 



30 



CITY-SIZE GROUP 
(number of 
inhabitants) 

500,000 OR MORE 

250,000-1*99,999 

IOO,000-?^9,9^9 

25,000-99,999 

S,000-2it,999 

LESS THAN 5,000 



500,000 OR MORE 

250,000-1*99,999 

100,000-2119,999 

25,000-99,999 

5,000-211,999 

LESS THAN 5,000 

500,000 OR MORE 

250,000-^99,999 

100,000-21*9,999 

25,000-99,999 

5,000-21,999 

LESS THAN 5,000 

500,000 OR MORE 

250,000-H99,999 

I00,000-2>I9,999 

25,000-99,999 

5,000-211,999 

LESS THAN 5,000 

500,000 OR MORE 

250,000-1199,999 

100,000-21*9,999 

25,000-99,999 

5,000-211,999 

LESS THAN 5,000 

500,000 OR MORE 
250,000-1*99,999 
100,000-2119,999 
25,000-99,999 
5,000-2" ,999 
LESS THAN 5,000 

500,000 10. HORt 
250, 000-u 99,999 
I00,000-?U9,999 
25,000-99,999 
5,000-2U ,999 
LESS THAN 5,000 



W<><X><>^;>66<W><WWWW^^^ 



WxVWWW<X?^^^^ 



>666<WWWWW<XXyX><>:><>6<V>6<V^ 



FOOD GROUP 



EATING AND DRINKING PLACES 



GENERAL MERCHANDISE GROUP, GENERAL STORES 






APPAREL GROUP 



^VWW<><><>66<WyVWWV<J 



AUTOMOTIVE Gi^OUP 



:^ss^^^^^^^^^s^^^^^^^sa 



LUMBER, BUI LDING, HARDWARE GROUP 

II I I IIIIH 



1 



<www<><>666<vwyi 



OTHER RETAIL STORES 






><><><y>< yxvv<A><v><x><>66<^^ 



16 



RETAIL TRADE 



Although the total sales volume in retail stores stood 
at a very high level in 1948, approxmiatcly 1,000,000 
stores, two-thirds of all the full-year stores had sales of 
less than $50,000 during the year. These "small" stores 
accounted for only 16.5 pei'cent of the total sales volume 
of all full-year stores, and had average yearly sales of 
slightly less than $21,000. 

In contrast, there were only 10,432 retail stores oper- 
ated the entire year each of which had sales of $1,000,000 
or more during the year. In addition there were 236 
stores not operated the entire year whose sales in 1948 
were in excess of $1,000,000. Despite their small nmn- 
ber, less than one percent of all retail stores, these 
"million dollar" stores accounted for about one-fifth of 
all retail sales. 

Department Stores 

Nearly 40 percent of the total sales of stores in the 
sales-size class of $1,000,000 or more was accounted for 
by department stores. There were 1,548 department 
stores in this class, 1,534 of them operated during the 
entire year, and 14 during only a part of the year. 
Table G, below, presents department stores by sales- 
size classes of over $1,000,000. This table includes data 
for part-year stores, but they are not separately identified. 



Table G. — Department 


Store Sales, 
1948 


BY 


Sales- 


Size Class: 


Sales-size 


Stores 
(number) 


Sales, entire 

year (thousand 

dollars) 


■United States, total 


2,580 


10, 644, 747 










Stores -with annual sales of— 

$20,000,000 or more 


98 
129 
212 
453 
656 
1,032 
679 
259 

94 


, 4, 486, 394 


$10,000,000-$19,999,999 


1, 723, 697 


$5,000,000-$9,999,999- 


1, 493, 805 


$2,000,000-$4,999,999 


1, 384, 063 


$1,000,000-$1,999,999- 


926, 833 


Less than $1,000,000 .- .-_ 


630, 055 


$500,0aO-$999,999 


503, 897 


$300,000-$499,999 


103, 228 


Less than $300,000 


22, 930 







There were 98 department stores with sales of $20,000,- 
000 or more in 1948, averaging about $45,000,000 for 
each store. Another 129 stores had individual sales 
between 10 and 20 million dollars, and 212 had sales 
between 5 and 10 million dollars. Sales in each of these 
439 stores were much higher than the average sales of 
$4,000,000 for all department stores. 

About 40 percent of all department stores had sales 
of less than $1,000,000 during 1948 and would be con- 
sidered small in this field. Nevertheless the average 
department store in this class had 1948 sales of more 
than $600,000, a very large store when compared to 
the average of about $81,000 for all retail stores operated 
the entire year. 

Grocery Stores 

The average grocery store without a fresh meat 
department had sales of close to $30,000 during 1948, 
whereas the grocery stores which sold fresh meat aver- 
aged almost $100,000 during the year. These figures 
are for stores which were operated the entire year. 



Groceries newly opened, or which changed ownership 
during 1948 and for which only part-year reports were 
available, numbered 51,738 and had- average sales of 
about $13,000 for those without fresh meat, and $40,000 
for those with fresh meat. 

In the 1939 Census of Business a definite trend toward 
large "combination" stores (stores carrying grocery 
and fresh meat lines) was observed. In that year there 
were 9,193 combination grocery stores with annual sales 
of $100,000 or more. Although no precise definition of 
what constituted a "supermarket" was recognized by 
the trade, combination grocery stores in the sales-size 
class of $100,000 or more were generally regarded as in 
the "supermarket" range. By 1948 there were 12,957 
combination grocery stores with sales of $300,000 or 
more, a sales volume level which would place them in 
the "supermarket" category. 

Motor Vehicles (New and Used) Dealers 

New car dealers in 1948 who were in business during 
the entire year had average sales of about $380,000 for 
the year. The supply of new passenger cars in 1948 
was short of the demand and thus the sales volume of 
many dealers was limited by the number of cars they 
could obtain from their distributors. 

Nearly 3,000 new car dealers, considerably more 
enterprises than in any other kind of business, had sales 
of $1,000,000 or more during 1948. These dealers had 
total sales of $5.4 biUion, or an average of about 
$1,860,000. There were another 5,067 dealers, with a 
total sales volume of $3.5 billion, whose sales were 
between $500,000 and $999,999. Only one kind of 
business, grocery stores with fresh meat, had more stores 
in this sales-size group. 

Eating and Drinking Places 

Eating and drinking places, primarily engaged in 
serving food and drinks for on-premise consumption, 
had a greater proportion of establishments in the under 
$50,000 sales-size class than any other important kind- 
of-business group. More than 85 percent of all eating 
and drinking places had sales of less than $50,000 in 
1948. This group accounted for almost 50 percent of 
the total sales of such establishments. 

There was a greater proportion of small businesses 
among establishments primarily selling alcoholic bever- 
ages for on-premise consumption than among eating 
places, 88 percent compared to 83 percent respectively. 
Wtile sales of drinking places that were under $50,000 
were two-thirds of the total for all drinking places, the 
sales of eating places in the same sales-size class repre- 
sented only 40 percent of the total. 

Area Distribution by Sales-Size 

In the Pacific States almost 50 percent of total Retail 
Trade was done through stores whose 1948 sales were 
$300,000 or more. The national average for trade 
through this category of retail stores was 43 percent. 



SUMMARY OF FINDINGS 



17 



The District of Columbia was far in advance of all 
States in percentage of sales through large stores, 
almost two-thirds of the District's sales being made in 
stores with annual sales of $300,000 or more. California 
was next with 50 percent, while the State with the lowest 
proportion of such sales was Mississippi with 28.5 
percent. 

Single Units and Multiunits and Types of Operation 
(Tables 3A to 3D, 7A to 7D, and 12A to 12M) 

During 1948, multiunit organizations accounted for 
only 9 percent of all retail stores but had about 30 per- 
cent of the total retail sales volume. The average size 
of a multiunit store was about $238,000 compared to the 
average size of $74,000 for all retail stores. More than 
50 percent of the sales of multiunit retail stores was made 
through grocery stores and through stores in the general 
merchandise group. Variety stores had the greatest 
percentage of sales through multiunits, with 86 percent 
being accounted for; while department stores; dry goods, 
general merchandise stores; and grocery stores with 
fresh meat had 64 percent, 48 percent, and 45 percent, 
respectively. Other kinds of business which had large 
proportions of their sales through multiunit stores were 
family clothing stores, shoe stores, and women's ready- 
to-wear stores. 

Major kinds of business in which the contributions 
made by establishments of multiunit organizations were 
relatively unimportant were drinking places, eating 
places, new car dealers, and gasoline service stations. 
Only 3 percent of the sales of drinking places were made 
in places belonging to multiunit organizations, while 
the proportions in the other three trades were 16 percent, 
8 percent, and 10 percent, respectively. 

In the 1948 Census of Business each retail establish- 
ment was separately coded either as a "single unit" 
store, where the owner operated only one retail store, 
or as a unit of a multiunit organization, where the owner 
operated moi-e than one retail store. Each unit of a 
multiunit organization was given a "number of units" 
size code depending upon the number of retail stores in 
the same general kind of business operated by the multi- 
unit organization. For example, if a firm operated 16 
retail stores, 11 of which were grocery stores, 4 drug 
stores, and one packaged liquor store, each grocery 
store would be in the "11-25 store multiunits" size class, 
each drug store in the "4 or 5 multiunit" size class, 
and the liquor store would be placed in the class of 
"single units operated by multistore firms." For the 
purpose of analyzing the operations of single and multi- 
unit stores, stores which are "single units operated by 
multistore firms" and stores which are "single units 
operated by one-store firms" have been combined into 
the one group "single units." All other stores are re- 
ferred to as "multiunits." 

In addition to being classified either as a single-unit 
store or as a multiunit store, each retail establishment 
was also classified by type of operation, that is whether 



the store was the standard type of retail store, or whether 
by method of merchandising, or by unu.sual type of 
ownership it was distinguished from the standard type 
of retail store. Examples of "nonstandard" types of 
operation which were separately identified in the 1948 
Census of Business are cooperatives, mail-order houses, 
direct selling (house-to-house) organizations, merchan- 
dise vending machine operators, and retail leased depart- 
ments in retail stores. 

In the 1939 Census of Business, and in previous cen- 
suses, the type-of-operation classification provided the 
basis for classifying retail stores into three major group- 
ings, namely, "independents" (single-unit stores, and 
two- and three-store multiunits), "chains" (four or more 
store multiunits), and "other types" (utility-operated 
stores, direct selling [house-to-house] organizations, co- 
operatives. State liquor stores, and commissaries or 
company stores). Establishments with characteristics 
which would result in their being classified in the major 
gi'oup, "other types," were always classified in that group 
even through other characteristics of the establishment 
might have been the same as either "chains" or "inde- 
pendents." In some of the 1939 "types of operation" 
tables, data for "independents," "chains," and "other 
types" are shown separately. In other tables, data for 
"other types" are combined with those for "independ- 
ents." 

In the 1948 Census of Business, since the type-of- 
operation classification was independent of the classi- 
• fication for single or multiunit operation, "nonstandard" 
operating types are included in the single and multiunit 
tables either as single units or in their proper "number 
of units" size class, but are not separately identified in 
these tables. Separate information on these types, 
however, is presented in chapter 12 of volume II. 

In comparing information on "chains" in 1939 with 
data on "four or more store multiunits" in 1948, allow- 
ance must be made for the exclusion from the 1939 data 
of statistics on nonstandard operating types which had 
the characteristics of "chains." Table H, below, pre- 
sents 1948 data on selected nonstandard operating types 
by single and multiunits. 

The proportion of sales through multiunit stores has 
varied considerably from trade to trade since 1929. For 
example, in 1929, nearly 46 percent of the total sales of 
grocery stores without fresh meat was made through 
"chains" (four or more store multiimits). B}^ 1939 the 
proportion had dropped to 32 percent, and in 1948 it was 
only 21 percent. On the other hand, the proportions in 
grocery stores with fresh meat steadily increased over 
the two decades, from 32 percent in 1929, to 38 percent 
in 1939, and 41 percent in 1948. 

In 1948, more than 50 percent of the sales of depart- 
ment stores were made through stores of organizations 
operating four or more units. This compared to the 42 
percent in 1939 and the 28 percent in 1929. The 1939 
and 1929 proportions have been adjusted to include the 
sales of mail-order department stores. The department 



18 



RETAIL TRADE 

Table H. — Selected Types of Opekation — United States, by Single Units and Multiunits: 1948 





Cooperatives 


Mail-order houses 


Direct selling organizations 


Merchandise vending 
machine operators 


Single and nmliiuiiits 


Stores 
(number) 


Sales, entire 
year (thou- 
sand dollars) 


Stores 
(number) 


Sales, entire 
year (thou- 
sand dollars) 


Stores 
(number) 


Sales, entire 
year (thou- 
sand dollars) 


Stores 
(number) 


Sales, entire 
year (thou- 
sand dollars) 


Total - - - 


4,398 


1,066,841 


880 


1, 485, 352 


3,451 


634, 763 


881 


199, 703 








2,608 
1,790 


542, 587 
524, 254 


818 
62 


179, 629 
1, 305, 723 


1,451 
2,000 


120, 325 
514, 438 


713 
168 


148, 504 




51, 199 








730 
1,060 


147, 979 
376, 275 


21 
41 


13, 051 
1,292,672 


97 
1,'903 


23, 098 
491, 340 


64 
104 


23,556 




27, 643 







stores ratios have been affected by the improved depart- 
ment store reporting in 1948, and it is probable that under 
1948 reportmg conditions the 1939 and 1929 percentages 
would be lower. On the other hand, the proportions of 
sales tlu'ough variety stores of firms with four or more 
stores has steadily decreased from 90 percent in 1929 to 
83 percent in 1948. 

The sizable decrease in the percentage of sales through 
multiunit gasoline service stations to 10 percent and 7 
percent in 1939 and 1948, respectively, from 34 percent 
in 1929, occurred because the large gasoline companies 
had largeh' discontinued their retail operations. The 
change in the proportion of sales through multiunit hard- 
ware stores, from 3 percent and 4 percent in 1929 and 
1939, respectively, to 16 percent in 1948, can be accounted 
for by a change in classification of a large group of stores 
which in 1939 were known as hard-goods stores. Data 
for this group were not presented separately in 1939 but 
were included under the classification "other retail- 
stores." In 1948, it was determined that these so-called 
"hard-goods" stores were more nearly like hardware 
stores, as defined by the Standard Industrial Classifica- 
tion Alanual, than any other kind of business, and the 
classification was made accordingly. 

Table I, below, shows the proportions of sales through 
four or more store multiunits for selected kinds of busi- 
ness for the three census years. 

Table I. — Phoportions of Sales Through Stores of 4 or 
More Store Multiunit Organizations — United States, 
BY Selected Kinds of Business: 1948, 1939, and 1929 



Kind of business 



Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Eating places ' 

Department stores 

Variety stores 

Men's, boys' clothing, furnishings stores- 
Family clothing stores.- 

Women's ready-to-wear stores 

Shoe stores- -- 

Furniture stores 

Gasoline service stations.. 

Hardware stores 

Lirjuor stores s. 

Fuel, fuel oil, ice dealers 

Jewelry stores.. 

Cigar stores and stands 



Proportion of sales 
through stores of 4 or 
more store multiunit 
organizations 



1948 



Per- 
cent 
21 
41 
11 
52 
83 
17 
30 
29 
48 
12 
7 
16 
31 
11 
11 
14 



1939 



Per- 
cent 
32 
38 
14 
2 42 
87 
22 
18 
28 
56 
15 
10 
4 
46 
15 
10 
27 



1929 



Per- 
cent 
46 
32 
14 
228 
90 
21 
27 
23 
38 
14 
34 
3 



Retail Multiunit Firms 

There were 6,159 firms which operated 4 or more retail 
stores during 1948. These firms operated 107,409 retail 
stores with total sales of $30,425,024,000. 

The data on niunber and sales of stores operated by 
firms having four or more retail stores differ from the 
data on number and sales of stores in the size class "four 
or more store multiunits" (table J, belovv), because in 
the tabulation by firms, all retail stores operated by the 
firms are counted, regardless of kind-of-business classifica- 
tion. For example, if a firm operated five retail stores, 
four of which were classified as grocery stores and one 
as a variety store, these five stores would be included in 
the tabulation of firms with four or more stores, but 
only the four grocery stores would be included in the 
"four or more store multiunit" size class. The variety 
store would be classified as a "single unit" store. 

Table J. — Firms With 4 or More Retail Stores Compared 
With 4 or More Store Multiunits — United States: 1948 



Item 


Stores 
(num- 
ber) 


Sales, entire 
year (thou- 
sand dollars) 




107, 409 
105, 108 


30,425,024 


4 or more store multiunits . .. - . 


29, 736, 570 







' Includes caterers in 1948, not included in 1939 and 1929. 
' -Adjusted to include mail-order houses. 

2 Includes State, county, or municipal liquor stores belonging to municipalities operat- 
ing 4 or more liquor stores. 



The above table indicates that there were 2,301 retail 
stores with sales of $688,454,000 which were classified 
in the single and multiunit tabulations either as "single 
units operated by multistore firms" or as "two or three 
store multiunits." 

Of the 107,409 stores operated by firms with 4 or more 
retail stores, 25,836 stores, or approximately one-quarter, 
belonged to 713 firms in the grocery business. The stores 
of these grocery firms accounted for almost one-third of 
the total retail sales of firms having 4 or more retail 
stores. The average number of stores operated by gro- 
cery firms with 4 or more stores was 36. However, 23 
grocery firms, averaging about 775 stores per firm, ac- 
counted for almost 70 percent of the retail stores oper- 
ated by grocery firms. 

There has been a large decrease in the number of 
stores operated by grocery fii-ms with 4 or more retail 
stores since 1939. In that year 789 firms operated 
40,519 stores. Although there were fewer grocery fii-ms 
in 1948 than in 1939, the decline in the number of stores 



SUMMARY OF FINDINGS 



19 



SALES OF SINGLE AND MULTIUNIT STORES AS A PERCENT OF TOTAL SALES- 
SELECTED KINDS OF BUSINESS: 1948 



PERCENT 



20 



>10 



60 



80 



iOO 



GASOLINE SERVICE STATIONS 



EATING PLACES 



FURNITURE STORES 



DRUG AND PROPRIETARY 
STORES 



FEED, FARM, GARDEN SUPPLY 
STORES 



WOMEN'S READY-TO-HEAR STOREI 



GROCERY STORES 



DEPARTMENT STORES 



VARIETY STORES 




SINGLE UNITS 



2-10 STORE MULT I UN ITS 



II OR MORE STORE HULTIUHITS 



was not wholly due to the drop in the number of firms 
in this field. An examination of the stores and sales 
data for 84 identical firms as reported in the 1939 and 



1948 censuses reveals that these firms have drastically 
reduced the nimiber of stores operated by them. (See 
table K below.) 



Table K. — Stores and Sales of Identical Grocery Firms — United States: 1948 and 1939 



Kind of business and number of stores operated in 1948 


Firms 
(number) 


Stores (number) 


Sales, entire year (thousand 
dollars) 


Percent change 1939-48 




1948 


1939 


1948 


1939 


Stores 


Sales 


Firms primarily operating grocery stores, without fresh meat, total 


20 


1,290 


1,890 


184,889 


66,528 


-32 


178 






Firms with 26-76 stores- 


17 
3 


616 

674 


801 
1,089 


111,387 
73, 502 


34, 021 
32, 507 


-23 

-38 


227 


Firms with 76 or more stores --- - - - . . - 


126 






Firms primarily operating grocery stores, with fresh meat, total _ 


64 


18, 346 


30, 008 


6, 979, 888 


2, 129, 377 


-39 


228 






Firms with 26-75 stores — 


41 
23 


1,578 
17,768 


1,769 
28,239 


519, 060 
6, 460, 828 


150, 472 
1, 978, 905 


-11 
-41 


245 


Firms with 76 or more stores 


227 







This table includes data only for those firms which had 
26 or more stores in 1939 and which were still active in 
1948. The average number of stores operated by the 23 
firms in the category "grocery stores, with fresh meat," 
was 1,228 in 1939. By 1948, these same 23 firms had 
reduced the number of stores operated to approximately 
730 apiece. 

Warehouses, administrative offices, other auxiliary 
units. — The operators of warehouses belonging to retail 
multiunit organizations and servicing the stores of the 
organizations; the central administrative and buying 
offices of such organizations; and operations such as 
central garages, laundries, etc., are closely .related to 



retail trade, and statistics on the activities of these units 
are included with the statistics on retail stores, although 
separately identified. 

In the 1948 Census of Business, 850 firms reported 
separate information on 1,080 warehouses servicing the 
retail stores of these fu'ms. These warehouses reported 
sales and billings of $9,090,871,000 of which $8,945,663,- 
000 were billings to their own stores and $145,208,000 
consisted of sales to other companies. In addition, data 
on 697 administrative offices and other auxUiarj' units 
were reported separately by 611 firms. Administrative 
offices accounted for 606 of these units. 

These 1,777 warehouses, administrative offices, and 



20 



RETAIL TRADE 



other auxiliary units did not represent all such units 
servicing stores of retail multiunit organizations. In 
many cases the warehouse, administrative office, or some 
other auxiliary activity for a multiunit organisation was 
a part of or close to one of the stores of the organization; 
and the information was included with the Census of 
Business report for that particulai store. The firms in 
many cases were unable to provide separate information 
for the store and for the auxiliary function. 

Types of Operation 

Cooperatives. — Retail cooperatives had sales of 
81,066,841,000 in 1948, an average of $242,000 for each 
of the 4,398 cooperative stores. Nearly one-half of these 
stores and almost three-quarters of their total sales were 
accounted for by "feed, fai-m, garden supply stores"; 
that is, they were "farmer" cooperatives formed pri- 
marily to provide farmers Avith the necessities such as 
feed, seeds, fertilizer, and other supplies used in running 
their farms. 

There were also 122 farm equipment dealers with 1948 
sales of $23,376,000 which could also be placed in the 
category of "farmer" cooperatives, and it is likely that 
most of the 820 establishments classified as gasoline 
service stations were engaged in supplying farmers with 
gasoline and Diesel oil to be used in running their mecha- 
nized farm equipment. 

For the most part, the remaining retail cooperatives 
were engaged in selling "consumer goods," primarily 
food. There were 494 grocery stores with fresh meat, 
151 grocery stores, without fresh meat, and 141 "other 
food stores." These stores had total sales of close to 
$140 million. In addition, there were 132 general stores, 
selling considerable food, and 83 eating and drinking 
places. 

The term "farmer" cooperative, as used above, refers 
to cooperatives primarily owned by farmers. The 
method of operation of "farmer" and "nonfarmer" 
cooperatives does not differ basically. 

Mail-order houses. — Sales by mail-order houses in 
1948 totaled $1,485,352,000. These sales were made by 
880 establishments. However, the bulk of the mail- 
order-house sales were made by 22 establishments. 
Because of the similarity of their merchandise depart- 
ments to those of department stores, they were classified 
as department stores. The total sales of these mail-order 
department stores amoxuited to $1,249,351,000, an 
average of approximately $57 million per store. 

Other kinds of business accounting for sizable sales 
through mail-order houses were dry goods, general 
merchandise stores with sales of $51 million; women's 
ready-to-wear stores, $26 million; feed, farm, garden 
supply stores, $19 million; book, stationery stores, $24 
million; and tobacco products stores, $22 million. 

Most of the mail-order houses were located in large 
m-ban areas. In Census of Business tabulations showing 
geographic distribution of Retail Trade, they were 



included in the areas in which they were located. They 
were not included in the localities from which the mail 
orders were received. 

The statistics on mail-order houses are only for those 
establishments which were primarily in the mail-order 
business. There has been a tendency over the last 
decade for many of the larger stores, particularly in the 
general merchandise field, to invite mail orders through- 
out the areas in which their advertising media circulate. 
Many of these stores also sent out small catalogs, par- 
ticularly during the holiday seasons. However, the 
Census Bm-eau has not attempted to measure the extent 
of this mail-order business by stores for which mail-order 
sales did not represent the major source of receipts. 

Direct selling organizations. — Direct selling (house- 
to-house) organizations had sales of $634,763,000 during 
1948. Sales offices of these organizations numbered 
3,451. The sales of these organizations were concen- 
trated in fom- merchandise groups, namely, organizations 
primarily selling home furnishings such as brushes and 
cooking utensils, with total sales of $162 million; organi- 
zations selling appliances such as vacuum cleaners, etc., 
with sales of $122 million; organizations selling food prod- 
ucts, with sales of $113 million; and organizations selling 
books and magazines by direct solicitation, with sales of 
$104 million. Milk dealers who made door-to-door 
deliveries and bakeries which sold house-to-house were, 
for census purposes, not considered to be direct selling 
organizations. 

Merchandise vending machine operators. — Sales of 
merchandise vending machine operators, whose primary 
source of receipts was from the sales of merchandise 
through coin-operated vending machines which they had 
placed in other businesses, office buildings, or institutions, 
amounted to $200 million. 

The 1948 Business Census was the first time that the 
Census Bureau collected information on this type of 
merchandising. In 1939, although some merchandise 
was being sold through vending machines, there was 
comparatively little interest in compiling separate 
statistics pertaining to its sale. By 1948, the nimiber of 
machines accessible to the buying public had mush- 
roomed, and some measure of the volume of merchandise 
sales by this method was deemed necessary. This 
method of merchandising is still in a period of expansion. 
The 1948 sales total represents a transitional point in the 
growth of the industry. 

Several of the larger companies in the merchandise 
vending machine field sell both through vending ma- 
chines and through concessions located mostly in motion- 
picture theaters. The Census Bureau obtained separate 
reports for the vending machine operations of these 
companies and only these data are included in the $200 
million sales figure. The sales of merchandise through 
concessions owned by these companies is not included in 
this figure. 



SUMMARY OF FINDINGS 



21 



The total sales does not include the receipts of vending 
machines owned and operated by soft drink bottling 
companies. The plants of these companies were outside 
the scope of the Census of Business. Neither does the 
total include receipts of machines individually owned 
and operated by the establishment in which the machine 
is located. In cases such as these, the receipts of the 
machines were included in the total receipts of the 
establishments owning the machines. 

Retail leased departments in retail stores. — In 1948 
there were 20,922 retail leased departments located in 
13,626 retail stores. These leased departments had total 
sales of $831,978,000, almost 8 percent of the total sales 
of the stores in which they were located. 

These leased departments were not counted as separate 
establishments but the data relating to them were in- 
cluded with the reports of the retail stores in which they 
were operated. While the lessee owns the merchandise 
in his department, his merchandising policies are inte- 
grated with those of the main store. The main store 
usually provides services such as credit, delivery, heat, 
power, and protection. Thus, a main store with one or 
more leased departments was regarded as a single store. 

In the 1948 Census, a consolidated report of leased de- 
partments and the main store was obtained. The 
enumerator also obtained a complete listing of each 
leased department in the main store. This listing of 
leased departments is the basis of the leased department 
statistics in these tabulations. 

In the 1939 Census of Business the enumeration pro- 
cediu-e provided for either a report from the main store 
consolidating the leased department and the main store, 
or a separate report from the lessee for the leased depart- 
ment when the main store was unable to supply the 
information. When a separate report for a leased de- 
partment was obtained it was counted as a separate 
establishment. The 1939 data on leased departments 
include only information for those reported separately. 

Legal Form of Organiziation (Table 6A to 6F) 

More than two-thirds (1,231,127) of all retail stores in 
1948 were owned by individual proprietors. However, 
they accounted for only one third ($44,813,592,000) of 
all sales. The average size of these stores, in terms of 
1948 dollar sales, was about $36,000. 

Another 322,223 stores, with total sales of $23,422,- 
224,000, were legal partnerships; that is, they each had 
two or more proprietors. These stores, on the whole, 
were twice as large as the stores with only one proprietor, 
their average sales size being about $73,000. 

There were only 210,608 stores which were organized 
as corporations or were owned by corporations. How- 
ever, sales of these stores totaled $61,203,213,000, almost 
47 percent of all retail sales, or about $291,000 for each 
store. 



Table L. — Legal Form of Organization — United States: 1948 





Stores 


Sales, entire year 


Average 
sales 
size of 
store 

(dollars) 


Legal form of organization 


Number 


Per- 
cent of 
total 


Amount 

(thousand 

dollars) 


Per- 
cent of 
total 


Total, all stores, _ 


1, 709, 540 


100 


130, 520, 548 


100 


74,000 






Individual proprietorships 

Partnersh ips 


1, 231, 127 
322, 223 
210, 608 

2,528 
3,054 


70 
18 
12 

(') 

(■) 


44, 813, 592 
23, 422, 224 
61, 203, 213 

770, 527 
310, 992 


34 
18 
47 

1 
(0 


36,000 
73,000 


Corporations 


291,000 


State, county, or municipal liq- 
uor stores. - . 


305,000 


other legal forms 


102,000 







1 Less than 0.5 percent. 

The 210,608 stores classified as "Corporations," in- 
cluded most of the 4,398 stores of retail cooperatives. 
Nearly all the stores in this category were incorporated, 
most of them under the various State cooperative asso- 
ciation laws, but many of them under the regular State 
corporation laws, particularly in those States which do 
not have cooperative association laws. The few coopera- 
tives not incorporated under any law were included in 
the "Other legal forms" group. 

"State, county, or municipal stores," numberirg 2,528, 
were all "liquor stores." Although there are a few exam- 
ples of municipal operation of retail stores in other kinds 
of business, these stores have been included in the "Other 
legal forms" category, which also includes other miscella- 
neous ownership types such as estates, receiverships, etc. 

Kind of Business 

■Although most retail stores were either individual 
proprietorships or partnerships, there were a few kinds 
of business in which the corporate form of organization 
predominated. Almost all department stores were oper- 
ated by corporations ; and an unusually high proportion 
of shoe stores, women's ready-to-wear stores, motor- 
vehicle dealers, and lumber yards were similarly organ- 
ized. The kinds of business which had an unusually high 
proportion of stores belonging to corporations, were, in 
general, those kinds of business in which the average 
sales volume was high, or those in which a large propor- 
tion of the stores were operated by multiunit organiza- 
tions. 

Comparison With 1939 

The only significant change in the distribution pattern 
of retail stores by legal form of organization between 1939 
and 1948 was in stores operated by individual proprietor- 
ships and by two or more partners. Over the decade 
there has been a decrease in the proportion of stores 
owned by individual proprietors and a corresponding in- 
crease in the proportion of stores operated by partner- 
ships. There were similar changes in the proportion of 
sales contributed by these stores. The proportion of 
corporations and their sales remained unchanged. 



22 



RETAIL TRADE 

Table M. — Legal Form of Organization— United States: 1948 and 1939 



Legal form of organization 



1948 



Number 



Percent 
of total 



1939 



Number 



Percent 
of total 



1948 



Amount (thou- 
sand dollars) 



Percent 
of total 



1939 



Amount (thou- 
sand dollars) 



Percent 
of total 



Total, all stores - 

Individual proprietorships... 

Parlnorships.. 

Corporations '_ 

State, eoiuity. or municipal liquor stores '. 
Other leg;il forms _ 



1,769,540 



100 



1,770,355 



100 



130, 520, 548 



100 



42, 041, 790 



1,231,127 

322, 223 

210, 608 

2,528 

3,054 



(') 
(') 



1, 357, 403 

189, 631 

213, 800 

2,618 

6,903 



(') 
P) 



44, 813, 592 

23, 422, 224 

61, 203, 213 

770, 527 

310, 992 



(.') 



16, 524, 970 
5, 198, 901 

19, 955, 025 
249, 430 
113,464 



100 



(') 



39 
12 

47 
1 



' 3,230 cooperative associations with total salesof $144,723,000, identified as a separate legal 
form of organization in 1939, have been combined, in this table, with "corporations" 
although a few of them may be unincorporated cooperative associations. 



2 State liquor stores were not identified as a separate legal form of organization in 1939 
but were included with "other legal forms." 

3 Less than 0.5 percent. 



The 1948 "Corporation" classification and the pub- 
lished 1939 data for this legal form of organization are 
not strictly comparable. The 1948 classification in- 
cluded those retail cooperatives which were incorporated 
under State cooperative association laws, while the few 
nonincorporated cooperative associations were included 
with "Other legal forms." In 1939 "cooperative asso- 
ciation" was a separately identified legal form of organ- 
ization, and no attempt was made to distinguish between 
those which were incorporated and those which were not. 
However, as nearly all of the 3,230 stores classified as 
"cooperative associations" in 1939 were incorporated, by 
combining data for them with those for corporations, 
the resulting total, shown in table M, above, is closely 
comparable to the 1948 figures for corporations. 

Personnel and Pay Roll in Retail Trade 

Nearly 10,000,000 persons were employed full time 
or part time in retail stores and in warehouses and other 
auxiliary units of retail multiunit organizations in the 
United States in November 1948. Of the total, 7,083,315 
or 72.6 percent, were paid employees. The remaining 
27.4 percent consisted of 1,742,046 active proprietors 
and 930,546 unpaid family workers. Of the 7 million 
paid employees, 165,254, or 2.3 percent, were employed 
in warehouses, administrative offices, and other auxil- 
iary units of retail multiunit organizations. 

There has been a substantial increase in the number of 
persons engaged in Retail Trade since 1929. Table N, 
below, presents data for the three census years, 1948, 
1939, and 1929. 

Table N.— Retail Trade Personnel: 1948, 1939, and 1929 





Paid personnel 


Self-employed 


Census year 


Warehouses and 

other auxiliary 

units 


Retail stores 


Active 
proprie- 
tors 


Unpaid 
family 




Total 


Pull work 
week 


Total 


Full work 
week 


workers 


1948- - 


165, 254 

111,335 

(>) 


156, 709 
(') 
(') 


6, 918, 061 
4, 600, 217 
4, 286, 616 


5, 608, 398 
3, 730, 932 
3, 729, 442 


1, 742, 046 
1,613,673 
1, 434, 704 


930, 546 


1939.. 


923, 878 


1929.- 


(1) 







The increase in paid personnel was consistent through- 
out the whole United States, even in the New England, 
Middle Atlantic, East North Central, and West North 
Central Divisions where the number of retail stores had 
■decreased during the decade. The largest increase 
occurred in the East North Central Division, from 
1,085,879 paid employees in 1939 to 1,549,997 in 1948, 
despite the decrease in stores from 364,508 to 350,319 
over the same period. 

With some minor exceptions, all kinds of business 
shared in the increased employment. The kinds of 
business which showed a decrease in the number of paid 
employees were those which appear to be disappearing 
as a result of the changing pattern of retail distribution. 
Some examples are "grocery stores, without fresh meat"; 
"meat markets"; "fruit stores, vegetable markets"; 
"general stores"; "millinery stores"; and "hosiery 
stores." 

From 1929 to 1939 there was a shift in retail employ- 
ment from stores specializing in durable goods to the 
nondurable goods type, such as filling stations and 
eating and drinking places. However, by 1948, except 

Table O. — Percent of Total Paid Employees in Retail Trade, 
BY Kind-of-Business Group: 1948, 1939, and 1929 



Kind-of-business group 



Total. 



Food group 

Eating and drinking places 

General stores -. 

General merchandise group 

Apparel group --- - 

Furniture, furnishings, appliance group. 

Automotive group 

Gasoline service stations.. 

Lumber, building, hardware group 

Brug and proprietary stores 

Liquor stores 

Second-hand stores 

other retail stores 



Percent of total paid 
employees i 



1948 



100.0 



14.5 
19.3 
0.6 
19.5 
8.5 
5.4 
9.2 
4.1 
6.9 
4.1 
0.8 
0.3 
6.8 



1939 



100.0 



16.9 
17.2 
1.3 
20.0 
8.7 
4.6 
8.3 
5.1 
5.3 
4.0 
0.6 
0.5 
7.5 



1929 



100.0 



16.5 
10.9 
3.1 
19.0 
9.2 
6.2 
9.6 
3.4 
7.5 
4.1 



0.4 
10.1 



I Not available. 



1 1948 and 1939 data are based on November employment. 1929 data are based on 
the average employment for the year. 

for eating and drinking places, that trend appeared to 
have been reversed. Table O, above, presents the per- 
centage of paid employment in retail trade contributed 



SUMMARY OF FINDINGS 



23 



by each kind-of-business group during the three census 
years, 1948, 1939, and 1929. As in 1939 and 1929, the 
stores in the general mei'chandise group employed more 
persons than any other group. More than 62 percent of 
the paid employees in the general merchandise group 
were employed in department stores. 

The retailing of food accounts for a very large propor- 
tion of retail employment. In both 1948 and 1939, 
employment in food stores and eating and drinking 
places together accounted for 34 percent of the total. 
With the added employees retailing food and drink in 
general stores, drug stores, variety stores, department 
stores, and many cigar stores, it is estimated that about 
40 percent of the total paid employees in retail trade are 
engaged in retailing food and drink. 

The largest percentage increases in paid employees 
between 1939 and 1948 were in eating and drinking 
places and in such durable goods businesses as furniture 
stores, household appliance stores, radio stores, motor 
vehicle dealers, hardware stores, and farm equipment 
dealers. Paid employment in these trades increased 50 
percent or more during the decade. 

Total and Full-Time Employees 

About 81 percent of all paid employees in November 
1948 worked a full workweek. This proportion is about 
the same as in November 1939, but is smaller than the 
proportion of such employees in ^1929, when 87 percent 
of the total were on a full workweek basis. 

Kinds of business in which the proportion of full work- 
week employees was considerably less than the average 
for all kinds of business were "grocery stores, with fresh 
meat," 72 percent; "dry goods, general merchandise 
stores," 74 percent; and "variety stores," 58 percent. 

For census purposes a full workweek employee was 
one who for a typical pay period was paid for working 
at least the number of hours typically worked by em- 
ployees of the working establishment. Thus employees 
of establishments which were normally open only part 
of the day, such as candy, nut, confectionery stands in 
theaters, were considered to be fuU workweek employees. 

Self-Employment 

A review of employment in retail trade should take 
into account data on proprietors and unpaid family 
workers. In November 1948, more than one-quarter of 
store personnel consisted of 1,742,046 proprietors, who 
were active either full- or part-time during the month, 
and 930,546 members of the families of proprietors who 
worked in the stores during November but were paid no 
stipulated wage or salary. 



Retail Pay Roll 

The annual Retail Trade pay roll in 1948 amounted 
to more than $14 billion. This included $618,162,000 
in warehouses and other auxiliary imits of retail multi- 
unit organizations, and $13,567,997,000 in retail stores. 

For all Retail Trade, pay roll constituted approxi- 
mately 10 percent of the sales dollar. However, this 
ratio varied considerably among kinds of business. In 
general, in those kinds of business wliich had compara- 
tively few self-employed persons, such as department 
stores and lumber yards, pay roll accounted for a larger 
portion of the sales dollar. Similarly pay roll was com- 
paratively high in idnds of business, such as bakery 
products stores and eating and drinking places, where 
processing on the premises and service were important 
functions. On the other hand, in those kinds of business 
where the number of self-employed was relatively high, 
such as grocery stores and gasoline service stations, the 
proportion of pay roll to sales was much lower than the 
average for all retail trade. 

Employee Size of Retail Stores 

More than one-third of all retail stores had no paid 
employees for the workweek ended nearest November 15, 
1948. However, these stores accounted for less than 
9 percent of the total sales of all retail stores during the 
year. The stores with no paid employees were operated 
by 1,249,038 self-employed persons during November 
1948, an average of about 2 such persons per store. 

The "employee size" of retail stores was based on the 
number of paid employees for the workweek ended 
nearest November 15, 1948. The "no paid employees" 
size class includ'es, therefore, some stores operated on a 
seasonal basis which were not active in November, and 
also stores which had no paid employees in November 
1948, but which might have had some during another 
part of the year. This accounts for the annual pay roU 
of $76 milhon shown for the "no paid employees" size 
class. 

In contrast to the large number of retail stores with 
no paid employees, there were only 3,674 stores which 
reported 100 or more paid employees for the November 
15 workweek. These stores, representing only 0.2 
percent of all retail stores, accounted for nearly 12 percent 
of the total retail sales, and 18 percent of the annual 
retail pay roll. The large retail stores are nearly all 
corporations, so that the number of self-employed 
personnel is negligible. Department stores accounted 
for 1,211 of these large stores and variety stores another 
516. However, the average department store in this 
size class employed 634 persons, whereas the average 
variety store in the class employed only 172 persons. 



24 



RETAIL TRADE 



00 




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w 


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w 




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W 




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eu 


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c/o 


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w 




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W 


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UJ UI 


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UI < 

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o- 


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<: 


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C/3 


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p^ 


UJ 

3C 


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g 


H 


w 


C/3 


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a. 


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I 



i 



SUMMARY OF FINDINGS 



25 





Table P- 


-Stores 


, Sales, and Paid 


Employees, by Employee Size: 1948 and 1939 








1948 


1«39' 


Employee size 


Stores 


Sales, entire year 


Paid employees 


Stores 


Sales, entire year 


Paid employees 




Number 


percent 

of 

total 


Amount 
(million 
dollars) 


Percent 

of 

total 


Number 
(thousands) 


Percent 

of 

total 


Number 


Percent 

of 

total 


Amount 
(million 
dollars) 


Percent 

of 

total 


Number 
(Ihoasands) 


Percent 

of 

total 


Total, all stores . 


1,769,540 


100.0 


130, 521 


100.0 


6,918 


100.0 


1,770,355 


100.0 


42, 042 


100.0 


4,600 


100.0 






100 paid employees or more 

20 to 99 paid employees . 


3,674 
46,885 
84,456 
46, 163 
92, 956 
170,213 
149, 109 
217, 597 
289, 170 
669, 317 


.2 

2.6 

4.8 

2.6 

5.3 

9.6 

8.4 

12.3 

16.3 

37.9 


15,083 
26, 646 
19, 009 
6,856 
10, 305 
13, 721 
8,927 
9,811 
9,021 
11,142 


11.6 
20.4 
14.6 
5.3 
7.9 
10.5 
6.8 
7.5 
6.9 
8.5 


1,221 
1,667 
1,118 
389 
597 
754 
447 
435 
289 


17.6 
24.1 
16.2 
5.6 
8.6 
10.9 
6.5 
6.3 
4.2 


2,173 

27, 573 

50, 732 

28, 446 

60, 762 

121,914 

122, 357 

201,941 

401,164 

753, 293 


0.1 

1.6 

2.9 

1.0 

3.4 

6.9 

6.9 

11.4 

22.6 

42.6 


4,631 
7,500 
5,429 
1,996 
3,244 
4,447 
3,170 
3,670 
4,103 
3,852 


11.0 
17.8 
12.9 
4.8 
7.7 
10.6 
7.5 
8.7 
9.8 
9.2 


688 
975 
668 
238 
388 
.5.33 
363 
399 
348 


15.0 
21.2 


10 to 19 paid employees .-. 


14.5 


8 or 9 paid employees 


5.2 


6 or 7 paid employees 


8.4 


4 or 5 paid employees 


11.6 


3 paid employees 


7.9 


2 paid employees 


8.7 


1 paid employee 


7.5 

















I The number of paid employees presented for each size class in 1939 was the average number of paid employees during the year. 



Comparison With Previous Census 

Since 1939 there appears to have been some tendency 
toward a greater number of stores in the largest employee- 
size classes and a correspondingly smaller number in the 
smallest size classes. Some of this apparent trend is 
probably a result of the different methods of defining 
employee-size class in the two censuses. In 1939 the 
employee-size class was based on the average number of 
paid employees during the year. November employ- 
ment is usually higher than the yearly average because 
of high seasonal employment in the last quarter; so that 
there would have been some shifting toward the higher 
employee-size classes in 1939 if the November figure had 
been used as it was in 1948. 

Pay Roll and Employment for Selected Workweeks 

All stores were requested to report emplo3Tnent and 
pay-roll data for November 15. However, in order to 
obtain some measure of seasonal variations in employ- 
ment in Retail Trade, information on March 15 and 
July 15 paid employment and weekly pay roll was also 
obtained from all "large stores and multiunits" and from 
one in ten of the "small single-unit stores." The sample 
of retail stores selected to supply this information was 
the same as that used to obtain other information, such 



as merchandise line sales, merchandise inventories, and 
credit. Tables presenting measures of sampling varia- 
bility of the estimated totals are presented below in 
"Sampling ReUability of the Estimates." Figures on 
stores, sales, pay roll, and November 15 employment 
as presented in the tables on weekly pay roll and employ- 
ment for selected workweeks are also estimates based on 
the sample, and differ from figures for November 15 
presented elsewhere which are based on a complete count. 

With few exceptions, paid employment in November 
was higher than during the other two periods examined. 
Many stores at that time were preparing for the holiday 
season and had already hired the extra personnel to take 
care of the heavy selling during that season. An impor- 
tant exception to this trend was in eating and drinking 
places. In these establishments, peak employment was 
reached during the summer. During that period a large 
number of seasonal businesses are operated at shore and 
mountain resorts. Peak employment for fuel, fuel oil 
dealers, occurred in March rather than November. 

In general, summer employment in Retail Trade was 
higher than in March. However, this did not hold for 
stores in the general merchandise group and the apparel 
group. Selling in these kinds of businesses usually drops 
off during the summer months, and it has become a 
practice for many stores to close on Saturday during 
July and August. 



Table Q. — Seasonal Employment in Retail Trade, by Kind-of-Business Group: 1948 





Average number of paid em- 
ployees, Mar. 15, July 15, 
and Nov. 15, 1948 


Employment index (average=100) 


Kind-of-business group 


Mar. 15 


July 15 


Nov. 15 




Total 


Full workweek 


Total 


Full 
work- 
week 


Total 


Full 
work- 
week 


Total 


Full 
work- 
week 


United States, total _ _ 


6,572,434 


5,464,963 


96 


96 


99 


101 


105 


103 






Food group . . 


974, 865 

1, 285, 151 

42,540 

1, 216, 889 

544,906 

365, 124 

612, 895 

269, 279 

463,732 

274 399 

522, 654 


748, 220 
1, 067, 573 
34, 910 
936, 919 
437, 632 
338,912 
588,225 
220,632 
424, 715 
210, 542 
456,683 


98 
93 
98 
96 
99 
97 
96 
94 
96 
97 
99 


98 
94 
99 
96 
99 
97 
96 
94 
96 
96 
99 


100 
104 
100 
93 
94 
100 
101 
102 
102 
101 
98 


101 
104 
101 
96 
96 
100 
101 
103 
103 
103 
99 


102 
103 
101 
111 
107 
103 
103 
104 
102 
102 
103 


101 


Eating and drinking places 


103 


General stores 


100 


General merchandise group. 


i07 


Apparel group 


105 


Furniture, furnishings, appliance group 


103 


Automotive group. 


103 


Gasoline service stations. 


163 


Lumber, building, hardware group 


102 


Drug and proprietary stores 


101 


Other retail stores 


102 







26 



RETAIL TRADE 



Merchandise Inventories (Tables lOA to lOF) 

Retail stores reported that the cost of merchandise 
inventories in the stores at the end of 1948 amounted to 
nearly $15 billion. In addition, warehouses of retail 
multiunit organizations, primarily servicing their own 
retail stores, had almost $600 million worth of mer- 
chandise on hand at the same time. 

Table R. — Merchandise Inventories in Retail Stores and 
IN Warehovses of Retail Multiunit Organizations — 
United States: 1948 



Type of establishment 


Establish- 
ments 
(number) 


Sales, 

entire year 

(thousand 

dollars) 


Merchandise 

inventories, at 

cost, end of year 

(thousand 

dollars) 


Establishments, total 


1,771,080 


132, 364, 800 


15,369,967 


Warehouses 


1,080 
1, 770, 000 


1 145, 208 
132, 219, 592 


592,936 
14,777,031 


Stores .,. 





' Sales of warehouses of multiunit organizations to other companies. Billings to 
stores of own company have been omitted. 

As used in the Census of Business, the term "inven- 
tories" means stocks of goods held for sale in the store, 
valued at cost. It does not include the value of fixtures 
or furnishings. In reporting the value of merchandise 
inventories, dealers were advised that reports based on 
cost, equivalent such as "lower of cost or market" or 
"last-in first-out (LIFO)" were acceptable. However, 
reports based on selling prices were not acceptable and 
had to be adjusted. 

Inventories were reported for the beginning and close 
of the calendar year 1948, except for some businesses 
which used a fiscal year other than the calendar year for 
accounting purposes. Data so reported were accepted 
and included without adjustment. In using the census 
tables it should be observed that for stores which went 
into business during 1948, there was a year-end inventory 
figure included but no beginning-of-year figure. As, by 
definition, stores which went out of business in 1948 are 
not covered in this census, the beginning-of-year inven- 
tories represent some understatement of total inventories 
and to that extent are not comparable with end-of- 
year inventories. 

The sample. — "Merchandise inventories" was one 
of the inquiries in the 1948 Census which was requested 
from all "large stores and multiunits" and from one in 
ten of the "small single-unit stores." Estimates for the 
United States and geographic divisions, based on this 
sample, are included in the tabulations. Measures of 
variability due to sampling, between these estimates and 
figures that could be expected from a complete enumera- 
tion, are presented below in the chapter on "Sampluig 
Rehability of the Estimates." 

Merchandise Inventories in Selected Kinds op 
Business 

Motor vehicle (new and used) dealers. — Despite the 
heavy demand for new cars during 1948, new car dealers 
stated that the cost of merchandise inventories on hand 



at the end of the year amounted to about one and 
one-half billion dollars. It is not possible to say how 
much of this represented new cars, and how much 
represented used cars taken in trade and automotive 
parts and accessories. 

There appeared to be some tendency for the smaller 
dealers to carry larger inventories in proportion to their 
sales than the larger dealers. This is illustrated in 
table S, below. 

Table S. — Motor Vehicle (New and Used) Dealers — 
Proportion of Sales and Merchandise Inventories, by 
Sales Size: 1948 



Sales size 


Percentage 

of sales, 
entire year 


Percentage of 
merchandise 
inventories, 
end of year 


Motor vehicle (new and used) dealers, total 

Less than $100,000 -.. 


100.0 
3.9 
21.7 
16.7 
22.9 
34.8 


100.0 
6.3 


$100,000 to $299,999 


26.7 


$300,000 to $499,999 


17.8 


$500,000 to $999,999-. _ 


21.6 


$1,000,000 or more... 


27.6 







Dealers whose sales were less than $100,000 accounted 
for about 4 percent of the sales of all new car dealers, 
but held more than 6 percent of the inventories ; whereas 
the dealers who had annual sales of $1,000,000 or more 
accounted for more than a third of the total sales of 
their trade, but held only 28 percent of the inventories 
at the end of the year. 

Inventories for motor vehicle dealers (new and used) 
showed a sizable increase in volume during the year, 
from $1,134 million at the beginning of the year, to 
$1,541 million at the end of the year. This increase (36 
percent) in part reflected increasing prices. 

Department stores. — The cost of merchandise inven- 
tories held in department stores at the end of 1948 
amounted to $1,318 million, slightly above the $1,302 
million held at the beginning of the year. In many 
cases, department stores hold merchandise in warehouses 
located away from the store itself. However, for the 
most part, the inventories in these warehouses have been 
included in the report for the store itself. 

The ratio of sales to inventory in department stores 
appeared to be directly correlated to the size of the de- 
partment store — the larger the store, the higher the 
ratio. 

Table T. — Department Stores — Ratio of Sales to In- 
ventory, BY Sales Size: 1948 



Sales size 


Stores 
(number) 


Sales, en- 
tire year 
(thousand 
dollars) 


Merchan- 
dise tu- 

ventories 

at cost, 

end of year 

(thousand 
dollars) 


Ratio of 
sales to in- 
ventory, 
at cost 


Total, all department stores 


2,580 


10, 644, 747 


1,317,826 


8.1 


Stores with annual sales less than 
$500,000 


353 

679 

1,548 


126,158 

503, 897 

10, 014, 692 


23,122 

83,354 

1,211,350 


5.5 


Stores with annual sales of $500,000 to 
$999,999 


&0 


Stores with annual sales of $1,000,000 
or more 


8.3 







SUMMARY OF FINDINGS 



27 



The apparel group. — Apparel stores held fairly high 
inventories at the end of 1948 in comparison with their 
total sales during the year. The group as a whole, 
which had total sales of nearly $10 billion during the 
year, had stocks on hand at the end of the year which 
cost nearly $2 billion. This was about 13 percent more 



than the cost of goods held at the beginning of tne year. 
Table U, below, presents 1948 sales and end-of-year 
inventories for kinds of business specializing in the sale 
of apparel and accessories. It also differentiates between 
inventories held by single-unit stores and inventories 
held by stores of multiunit organizations. 



Table U. — Merchandise Inventories at Cost, End of Year in Sinole and Multiunit Stores in the Apparel Group: 1948 



Kind of business 



Stores of single-unit organizations 



Sales, entire 

year 

(thousand 

dollars) 



Merchandise 
inventories 
at cost, end 

of year 

(thousand 

dollars) 



Ratio of 

sales to 

inventory, 

at cost 



Stores of multiunit organizations 



Sales, entire 

year 

(thousand 

dollars) 



Merchandise 
inventories 
at cost, end 

of year 

(thousand 

dollars) 



Ratio of 

sales to 

inventory, 

at cost 



Apparel group. 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores _. 

Millinery stores __ 

Other apparel accessory, specialty stores. 

Shoe stores _. — -- 

All other apparel stores --. 



6, 056, 408 



1, 288, 551 



4.7 



3, 849, 086 



529, 702 



7.3 



1, 598. 789 
9»4, 790 

2.003,113 

65, 757 

189, 039 

625, 906 

579, 014 



422, 790 
224, 514 
285, 996 
6,649 
40, 945 
181, 989 
125, 668 



3.8 
4.4 
7.0 
9.9 
4.6 
3.4 
4.6 



576, 551 

823, 227 

1, 329, 133 

42, 046 
149, 285 
846, 437 

82, 407 



108, 994 

120, 752 

127, 791 

1,849 

16, 457 
138,412 

15, 447 



5.3 
6.8 
10.4 
22.7 
9.1 
6.1 
5.3 



Inventories in other kinds of business. — Other kinds 
of business which held large inventories at the end of 
1948 were furniture stores with about $753 million worth 
of merchandise on hand; lumber yards holding inventories 
which cost about $831 million; hardware stores with 
goods on their shelves costing $645 million; dry goods, 
general merchandise stores with inventories of $536 mil- 
lion; and jewelry stores holding goods which cost ap- 
proximately $461 million. 

Warehouse inventories.— The warehouses for which 
data are presented in tables 7A to 7D are those belonging 
to retail multiunit organizations. They had a function 
analogous to wholesale establishments which service 
retail stores. Tables 7A to 7D do not include data on 
warehouses used by stores as supplemental storage 
space for their merchandise. Data for such storage 
warehouses were included with the stores for which 
they provided supplemental storage. 

Warehouses of retail multiunit organizations reported 
that merchandise which cost close to $9 billion was 
billed to their stores during 1948, and that another 
$145 million was sold to stores of other companies. At 
the end of the year these warehouses held merchandise 
which cost $592,936,000. If the average inventory 
during 1948 remained approximately at this level, it 
would indicate a turnover during the year of about 15. 
However, two -thirds of the sales and billings during the 
year were made by warehouses belonging to organizations 
operating food stores. These same warehouses held 
less than half of the inventories in warehouses at the 
end of the year. Thus they were an important factor 
in the high turnover rate in such establishments. 

Beginning- and end-of-year inventories. — The cost of 
inventories held by all retail stores rose from $12.9 
billion to $14.8 billion during 1948, an increase of 15 



percent. This increase was general for all kinds of 
retail business, with the automotive group registering the 
largest percentage increase. This group increased their 
inventories from $1.6 billion to $2.1, about 31 percent. 

The 15-percent increase in the cost of goods held in 
stock does not necessarily indicate a corresponding 
increase in the volume of goods held. The wholesale 
prices of merchandise varied during the year, and, except 
for food, the general tendency was for the wholesale 
commodity prices to increase between January 1948 
and December 1948. Thus, for kinds of business other 
than those in the food group, the increase in the physical 
volume of inventories between the beginning and end of 
1948 was probably somewhat less than the increase in 
the cost of the goods held in stock. The exclusion of 
beginning-of-year inventories for stores which went out 
of business before the close of 1948 had a negligible 
effect on this increase. 

Comparisons with previous years. — Table V, below, 
presents total sales and end-of-year inventories for the 
three census years 1948, 1939, and 1929. In the com- 
parison of inventories in these years, the data are adjusted 
for price and cost differences. 

Table V.— Sales-Inventory Ratios: 1948, 1939, and 1929 





Sales, entire 

year 

(thousand 

dollars) 


Sales ad- 
justed to 
base year 

(1935-39 
average) 

(billion 
dollars)! 


Merchandise inventories 
at cost 




Census year 


Actual 

(thousand 

dollars) 


Adjusted to 
base year 
(1935-39 
average) 
(billion 
dollars)^ 


Ratio of 
sales to in- 
ventories 
(adjusted) 


1948 

1939 


132, 219, 592 
42,041,790 
48, 329, 652 


68.6 
42.5 
40.0 


14.777,031 
5,116,583 
7, 199, 656 


7.5 
5.2 
6.2 


9.1 
8.2 


1929 


6.6 







' U. S. Department of Commerce retail commodity price index. 
' U. S. Department of Labor wholesale commodity index. 



28 



RETAIL TRADE 



Credit Sales and Balances Due (Tables 11 A to llH) 

Cash and Credit Sales 

Credit was granted by only one-thii-d of all retail 
stores in 194S. However, those stores accounted for 
57 percent of the retail sales volume. Sales for cash in 
the credit stores amounted to 32 percent of all retail 
sales, so that cash sales in both credit and cash stores 
accounted for 75 percent of all the total sales volume. 
The remaining 25 percent represented credit sales, 
nearly three-quarters of which were charge or open 
account sales, and the remainder installment sales. 
Table W, below, summarizes these data for the United 
States. 



Table W. — Analysis of Cash and Credit Sales — 
United States: 1948 





Stores 


Sales, entire year 


Credit analysis 


Number 


Percent 
of total 


Amount 

(thousand 

dollars) 


Percent 
of total 


Retail stores, total . 


1, 770, 000 


100.0 


132, 219, 592 


100.0 






Stores analyzing sales 


1, 638, 524 
131, 476 


92.6 
7.4 


127, 746, 705 
4, 472, 887 


96.6 


Stores not analyzing sales 


3.4 






stores analyzing sales, total _ > 


1, 638,-524 


100.0 


127, 746, 705 


100.0 






Stores with cash sales only 


1, 094, 010 
544, 514 


66.8 
33.2 


54, 576, 014 
73, 170, 691 


42.7 


stores with credit sales, total 


57.3 


Cash sales 






40, 789, 007 

25, 211, 889 

7, 169, 795 


32 


Charge account sales 






19.7 


InfitallTTiPTit fifi]ps 






5.6 











Balances Due 

Ketail stores which reported charge account sales of a 
little more than $25 biUion during 1948 had nearly $4 
bniion in unpaid balances on their books at the end of 
1948. This would indicate that, on the average, pur- 
chases made on charge or open accounts were paid for in 
about 2 months. However, it is possible that this ratio 
of charge account sales to charge account balances is 
somewhat distorted by the seasonal character of the 
December sales. The ratio might differ somewhat if 
it were taken for a different period. 

Retail stores which made sales totaling $7 billion on 
installment or similar types of plans during 1948 had a 
total of nearly $2 billion remaining on their books at the 
end of that year. However, this figure was not the full 
amount owed at the end of 1948 by piirchasers of mer- 
chandise on installment plans, since in some transac- 
tions, such as motor-vehicle sales, it is customary for the 
dealer to immediately discount the installment notes. 

The Sample 

Credit data in the 1948 Census of Business were col- 
lected on a sample basis. Estimates, based on the 
sample, have been compiled at the United States and 



geographic division levels. Totals for stores and sales 
based on the sample, differ from figures appearing in 
other tabulations which are based on reports from all 
stores enumerated in the census. Measures of variabil- 
ity resulting from sampling are presented below in 
"Sampling Reliability of the Estimates." 

Comparisons With Previous Cfnsuses 

Data on cash and credit sales were previously collected 
in the 1929 and 1939 Business Censuses. However, the 
basis for selecting respondents differed in those years 
from the method used in the 1948 census. For 1929 
credit data were restricted to cities of more than 10,000 
inhabitants and stores having sales of $60,000 or more. 
Credit information in the 1939 census was requested 
from all chain stores (stores of firms which had 4 or more 
retail stores) and all other stores with sales over $20,000. 

Table X below, summarizes data on cash and credit 
sales for the census years 1929, 1939, and 1948. The 
summary data for 1929 and 1939 are based on the experi- 
ence of those stores which analyzed their sales, while the 
1948 data are based on the estimates computed from the 
sample. 



Table X. — Cash 


AND C 


HEDiT Sales: 1948, 


1939, AND 1929 






Total sales 


Cash sales 


Credit sales 


Census year 


Charge 

account 

sales 


Installment 
sales 


1948 


Percent 
100 
100 
100 


Percent 
74.6 
65.8 
65.7 


Percent 
19.7 
22.8 
2L3 


Percent 

5.6 


1939 


n.4 


1929 


13 







Credit Data by Kind of Business 

Credit practice in Retail Trade varied from one kind of 
business to another. In some trades it was practically 
nonexistent, while in others it was a very important 
feature. The presence of minor amounts of installment 
sales in many kinds of business, which usually did not sell 
merchandise on the installment plan, was probably due 
to the fact that there were many stores throughout the 
country which sold a heterogeneous group of com- 
modities. 

Credit in food stores. — Nearly all sales in food stores 
involving credit were made on charge accounts. As 
indicated in table Y, below, 43 percent of the grocery 
stores with fresh meat, accounting for about one-third of 
the total sales of such stores, had charge account cus- 
tomers. However, about three-quarters of the sales of 
these credit stores were cash sales. 

Credit in grocery stores was confined almost entirely to 
single-unit stores. Of all "combination" stores (grocery 
stores with fresh meat) granting credit, 94 percent were 
operated by individuals or companies which operated no 
other grocery stores. 



SUMMARY OF FINDINGS 



29 



CHARGE ACCOUNT SALES AND BALANCES DUE ON CHARGE ACCOUNTS- 

UNITED STATES: 1948 



LUMBER YARDS, PUILOING 
MATERIALS DEALERS 



MOTOR VEHICLE (NEW AND USED) 
DEALERS 



DEPARTMENT STORES 



GROCERY STORES, WITH FRESH 
MEAT 



FUEL, FUEL OIL, ICE DEALERS 



FEED, FARM, GARDEN SUPPLY 
STORES 



DAIRY PRODUCTS STORES, MILK 
DEALERS 



WOMEN'S READY-TO-WEAR STORES 



FURNITURE STORES 



FARM EQUIPMENT DEALERS 



HARDWARE STORES 



PLUMBING, PAINT, ELECTRICAL 
STORES 



HOUSEHOLD APPLIANCE STORES 



SELECTED KIKDS OF BUSINESS 



BlLLlOns OF DOLLARS 



CHARGE ACCOUKT SALES, ENTIRE YEAR 



BALANCES DUE FROM CUSTOMERS, END OF YEAR, ON CHARGE ACCOUNT SALES 
I I 



30 



RETAIL TRADE 



CREDIT EXPERIENCE OF RETAIL STORES, SELECTED KINDS OF BUSINESS- 
UNITED STATES: 1948 



STORES ANALYZING SALES IN EACH KIND OF BUSINESS = 100 PERCEHT 



PERCEMT 
60 



50 



30 



20 



DEPARTMENT STORES 



STORES WITH BOTH 
CHARGE ACCOUNT AND 
INSTALLMENT SALES 



STORES WITH 
CASH SALES ONLY 




<!TORF<; WHOSE STORES WHOSE 

rPFniT S4I FS ARE (^^EDIT SALES ARE 

?n rS^D^c *LL INSTALLMENT 

ALL CHARGE cai rQ 
ACCOUNT SALES 





PERCENT 
160 



FAMILY CLOTHING STORES 



50 



STORES WITH 
CASH SALES ONLY 



■to 



STORES WHOSE 

CREDIT SALES ARE 

ALL CHARGE 

ACCOUNT SALES 



30 



STORES WHOSE 

CREDIT SALES ARE 

AIL INSTALLMENT 

SALES 



20 




STORES WITH BOTH 
CHARGE AaOliNT AND 
INSTALLHENT SALES 

\ 



PERCENT 
60 1 



50 



to 



30 



20 



HOUSEHOLD APPLIANCE STORES 



STORES WITH 
CASH SALES ONLY 




STORES WHOSE 

CREDIT SALES ARE 

ALL CHARGE 

ACCOUNT SALES 



STORES WITH BOTH 
CHARGE ACCOUNT AND 
INSTALLMENT SALES 



^V 



N. 



STORES WHOSE 

CREDIT SALES ARE 

ALL INSTALLMENT 

SALES 




PERCENT 
60 



MOTOR VEHICLE (NEW AND USED) DEALERS 



STORES WITH 
CASH SALES ONLY 




STORES WHOSE 

CREDIT SALES ARE 

ALL CHARGE 

ACCOUNT SALES 



STORES WITH BOTH 
CHARGE ACCOUNT AND 
INSTALLMENT SALES 



STORES WHOSE 

CREDIT SALES ARE 

ALL INSTALLMENT 

SALES 



50 



■to 



30 



20 



PERCEMT 
60 



50 



W 



30 



20 



FARM EQUIPMENT 
DEALERS 



STORES WITH 
CASH SALES ONLY 




STORES WHOSE 

CREDIT SALES ARE 

ALL CHARGE 

ACCOUNT SALES 



STORES WITH BOTH 
CHARGE ACCOUNT AND 
INSTALLMENT SALES 



STORES WHOSE 

CREDIT SALES ARE 

ALL INSTALLMENT 

SALES 

v»"»>^»»m 




PERCENT 
60 



STORES WHOSE 

CREDIT SALES ARE 

ALL CHARGE 

ACCOUNT SALES 



50 



■10 



30 



20 



STORES WITH BOTH 
CHARGE ACCOUNT AND 
INSTALLMENT SALES 



STORES WHOSE 

CREDIT SALES ARE 

ALL INSTALLMENT 

SALES 



SUMMARY OF FINDINGS 



31 



Table Y. — Cash and Credit in Grocery Stores, With 
Fresh Meat: 1948 





Total 


Single units 


Multiunits 


Credit analysis 


Stores 


Sales, 
entire 
year 


Stores 


Sales, 
entire 
year 


Stores 


Sales, 
entire 
year 


Total all stores 


Percent 
100.0 
57.0 
43.0 
(') 
(') 


Percent 
100.0 
65.4 
34.6 
24.1 
10.5 


Percent 
89.3 
85.8 
9.3.9 
^') 


Percent 
54.7 
44.4 
74.0 
66.0 
92.5 


Percent 
10.7 
14.2 
6.1 
(') 
0) 


Percent 
45.3 


Stores with cash sales only 

Stores vpith credit sales, total 

Cash sales 


55.6 
26.0 
34.0 


Credit sales 


7.5 







' Not applicable . 

More than one-half of the sales of the stores in the kind- 
of-business class "dairy products stores, milk dealers" 
were charge account sales. Most of these sales were made 
by milk dealers, who collect weeidy or monthly from their 
customers for the products delivered during the previous 
weelf or month. 

Credit in department stores. — About 40 percent of 
the sales of department stores were made on credit. Ap- 
proximately two-thirds of this total were charge account 
sales and the remainder installment sales. Included as 
installment sales were sales made under the various types 
of budget-payment plans which were used in many 
department stores. 

Of the 2,573 department stores which provided credit 
information, only 430 stated that they did not make sales 
on credit. These "aU cash" stores accounted for 4 per- 
cent of the total sales of department stores. Another 
318 department stores indicated that although they 
allowed charge accounts, they did not make any install- 
ment sales. These stores had total sales of a little under 
$500,000,000 of which about one-half were charge account 
sales. 

Another 379 department stores, with total sales of 
$2,275 million, reported that all their credit sales were 
instaUment sales. These stores had average sales of 
$6,000,000, and their installment sales averaged about 26 
percent of the total. Most department stores, 1,446, 
had both charge account and installment sales. Of the 
total sales of $7,415 million made by these stores, 53 
percent were cash sales, 34 percent were charge account 
sales, and 13 percent were installment sales. 

Credit in apparel stores. — With the exception of "fur- 
riers, fur shops" and "family clothing stores" credit in 
the apparel group of stores was limited almost entirely 
to customers with charge or open accounts. About 16 
percent of the sales of fur shops, where the individual 
sales are likely to have a high dollar value, and about 
10 percent of the sales of family clothing stores were 
installment sales. 

Fur shops, custom tailors, women's ready-to-wear 
stores, family clothing stores, and men's, boys' clothing 
and furnishings stores made a sizable portion of their 
sales to charge account customers. The sales of shoe 
stores, on the other hand, were nearly all cash sales. 

Credit in furniture stores. — Almost two-thirds of the 
sales of furniture stores were deferred payment sales. 



Of the total sales of furniture stores in 1948, 34 percent 
were made for cash, 25 percent were on charge accounts, 
and 41 percent were installment sales. 

Table Z. — Credit in Furniture Stores — United States: 1948 





Stores 


with cash sales only 


Stores with credit .sales 


Sales size 


Num- 
ber 


Sales, 
entire 
year 
(thou- 
sand 
dollars) 


Average 
sales per 
store 
(thou- 
sand 

dollars) 


Xum- 
ber 


Sales, 
entire 
year 
fthoi! 
sand 
dollars) 


Average 
saies per 
store 
(thou- 
sand 

dollars) 


Total 


5,872 


274, 845 


47 


21, 978 


3, 137, 176 


143 


Less than $100,000 

Percent of total -- 


5,237 

89 

635 

11 


150, 437 

55 

124, 408 

45 


29 


13, 226 

60 

8,752 

40 


659, 560 

21 

2, 477, 616 

79 


50 


$100,000 or more... 


196 


283 


Percent of total-- - _- 











Only 8 percent of the sales were made in "all cash" 
stores. As indicated in table Z, the stores which made 
no credit sales were in general the smaller stores. About 
89 percent of them had 1948 sales of less than $100,000, 
whereas only 60 percent of the stores granting credit had 
sales of less than $100,000. 

Furniture stores with credit sales were about equally 
divided among stores where credit sales were all charge 
account sales, stores where credit sales were all install- 
ment sales, and stores which had both charge and in- 
stallment sales. However, the stores in the first group 
were, on the whole, considerably smaller than those in 
the second and third groups. 

Table AA. — Furniture Stores, With Credit Sales: 1948 



Credit type 


Stores 
(number) 


Sales, 

entire year 

(thousand 

dollars) 


Average 
sales per 

store 

(thousand 

dollars) 


Stores analyzing sales, total -- 


27,850 


3,412,021 


123 








5,872 
21, 978 


274, 845 
3, 137, 176 


47 


Stores with credit sales, total. . 


143 








7,418 
6,999 
7,561 


699. 291 
1, 035, 067 
1, 402, 818 


94 


Credit sales all installment 


148 


Both charge account and installment 


186 



Of the 5,872 furniture stores which indicated that they 
made no credit sales, 5,498 were owned by individuals 
or companies who owned no other furniture stores. Only 
374 "cash" furniture stores were owned by organizations 
operating 2 or more furniture stores. On the other hand, 
3,298 furniture stores of multiunit organizations were re- 
ported as granting credit. These stores represented 15 
percent of all stores in this category. 

The credit pattern in kinds of business closely allied 
to the furniture field, such as "floor covering, drapery 
stores," and "other home furnishing stores," differed 
from that in "furniture stores." In "floor covering, 
drapery stores," although 44 percent of the total sales 
were made on credit, the bulk of these sales were charge 
accoimt sales. About one-third of their sales were made 
in stores which did not make credit sales. However, in 
"other home furnishing stores," which includes stores 



32 



RETAIL TRADE 



soUiiiir primarily china, glassware, metahvare, house- 
ware, shades, Winds, awnings, etc., approximately 24 
percent of the totiil sales were installment sales, while 
17 percent were charge account sales. 

Credit in household appliance stores, radio stores. — 
About one-half of the sales of "household appliance 
stores," which sell primarily vacuum cleaners, refriger- 
ators, washing machines, etc., were credit sales. These 
credit sales were about evenly divided between charge 
account sales and installment sales. Only 14 percent of 
the sales were made in stores which had no credit sales 
in 1948. 

On the other hand, 30 percent of the sales of "radio 
stores" were accounted for by "all cash" stores, and 
another 40 percent were cash sales made in stores which 
granted credit. Charge account sales and installment 
sales in radio stores were each 15 percent of the total 
sales of such stores. 

Credit by motor vehicle dealers. — The credit pattern 
of retail motor vehicle dealers reflects to some extent the 
practice in these trades of immediately discounting credit 
paper with finance agencies set up for the purpose. 
Although dealers were instructed to report as installment 
sales, any transactions made on an installment basis with 
the customers, even though the credit paper was imme- 
diately discounted by the dealer, review of census reports 
after completion of the census indicates that this instruc- 
tion was not followed uniformly. Therefore, the 9 per- 
cent of the sales of new car dealers reported as install- 
ment is undoubtedly an understatement of the true pro- 
portion for this trade. 

Credit by lumber yards, building materials dealers.^- 
Nearly three-quarters of the sales of lumber yards, build- 
ing materials dealers were made on credit, the highest 
proportion for any kind of business during 1948. Prac- 
tically all of these credit sales were reported as charge 
or open account sales, only one percent of the total sales 
of these dealers being reported as installment sales. 

Lumber yards, building materials dealers who made 
no credit sales accounted for only 5 percent of the total 
sales. The average sales of these establishments during 
1948 was about $78,000, compared with the $217,000 
average sales of the dealers who granted credit during 
1948. 

Credit in other kinds of business. — Other kinds of 
business in which credit transactions were important 
were plumbing, paint, electrical stores with nearly one- 
half of their sales made on charge accounts; fuel, fuel 
oil, ice dealers whose customers charged about 58 percent 
of the sales; jewelry stores, where installment sales ac- 
counted for 24 percent, and charge account sales another 
21 percent; book, stationery stores in which deferred pay- 
ment sales accounted for 58 percent of the total sales; 
florists, with 41 percent of their sales charge account 
sales; and music stores, where installment sales (for such 
items as pianos and other musical instruments) accounted 
for 28 percent of the total sales, and charge account sales 
for 18 percent. 



Area Variations 

There appears to be considerable variation in the pro- 
portion of credit sales to total sales in different parts of 
the country. For example, credit sales in department 
stores m the Boston Metropolitan Area accounted for 
about 42 percent of the total sales of department stores 
in that area; while in the Chicago Metropolitan Area 
credit sales in department stores accounted for only 32 
percent of the total. There were similar wide ranges 
in the proportion of credit sales to total sales in other 
kinds of business. 

Merchandise Line Sales 

Sales of each kind of business included in the 1948 
census, with the exception of a few minor classifications, 
have been analyzed by merchandise lines and presented 
for the United States. Statistics for geographic divi- 
sions. States, and the 90 largest standard metropolitan 
areas also are presented. 

The merchandise line data are arranged in nine sets 
of tables corresponding to broad kind-of -business groups 
used throughout the census. The nine sets are : 

Food Group— Tables 16A to 16F. 

Eating and Drinking Places — Tables 17A to 17E. 

General Merchandise Group, General Stores — Tables 18A to 

18E. 
Apparel Group — Tables 19A to 19E. 
Furniture, Furnishings, Appliance Group — Tables 20A to 

20E. 
Automotive Group, Gasoline Service Stations — Tables 21 A 

to 21H. 
Lumber, Building, Hardware Group — Tables 22A to 22E. 
Drug and Proprietary Stores — Tables 23A to 23M. 
Miscellaneous Kinds of Business — Tables 24A to 24E. 

The kinds of business for which no merchandise line 
data are presented are "other food stores"; "children's, 
juveniles' shoe, stores"; "other apparel stores"; "other 
second-hand stores"; and "all other retaU stores." The 
total sales of the stores in these five kinds of business 
accounted for less than 1 percent of the sales of all retail 
stores. 

Thje Sample 

"Merchandise line sales" was one of the items in the 
1948 census for which information was requested from 
"all large stores and multiunits" and from one in ten of 
the "small single-unit stores." Estimates for the United 
States and geographic divisions, based on this sample, 
are included in the tabulations. Measures of variabihty 
due to sampling, between these estimates and figures 
that could be expected from a complete enumeration, 
are presented below in "Sampling Reliability of the 
Estimates." 

Merchandise Line Patterns 

Merchandise lines are groups of related commodities 
or commodities grouped on a departmental basis which 
were established, for census purposes, in consultation 



SUMMARY OF FINDINGS 



33 



with representatives of trade organizations, market 
research groups, statistical organizations, and others. 
Twenty-six sets of merchandise lines referred to as 
"patterns" were developed, one for each group of related 
kinds of busmess, to fit the departmental organization 
and the records of reporting stores. This made it possi- 
ble for the great majority of stores to report their sales 
by merchandise line. 

In classifying sales by merchandise line, a specified 
commodity item may be grouped diflferently in different 
patterns. For example, the item "canned foods" is 
part of the merchandise line "canned goods, other gro- 
ceries" in the pattern used for the kind of business 
"grocery stores, without fresh meat." However, in the 
pattern used for "candy, nut, confectionery stores," it 
is part of the merchandise line "canned foods, beverages, 
other foods." Similarly, the item "phonograph records" 
is a separate merchandise line in the pattern used for 
"radio stores"; whereas in the pattern used for "depart- 
ment stores," it is part of the merchandise line 
"radios, phonographs, television sets, records, etc." 

There may also be individual differences in depart- 
mental organization of stores in the same kind of business 
which could occasionally lead to reporting sales of the 
same commodity in different merchandise lines. For 
example, one furniture store may include sales of electric 
light bulbs in the merchandise line for lamps and shades 
because they are sold in that department, whereas 
another furniture store may include the same item under 
"housewares (including electric)." 

The 26 reporting patterns for the kinds of business for 
which merchandise line sales data are presented are shown 
in appendix G. Column 2 of the table lists the kinds of 
business in each chapter for which data for the indicated 
merchandise lines are published. References should be 
made to columns 3 and 4 for other chapters and kinds of 
business in which data for related merchandise lines 
appear. For merchandise lines shown in column 1 with- 
out an asterisk, the column 2 and 4 references cover all 
kinds of business for which data for the specified line or 
a related line are published. For merchandise lines 
shown in column 1 with an asterisk, reference should be 
made to the chapters listed in column 3 for a complete 
list of kinds of business for which data for the specified 
line or a related line are published. 

Limitations in Reporting Sales by Merchandise 

Line 

In general, reports on merchandise line sales were 
based on departmental, "cash register," or other avail- 
able records maintained by the stores. Stores that 
maintained only limited records and those whose depart- 
mental sales groupings differed from descriptions on the 
questionnau-e were asked to report on the basis of the 
best possible approximations. A particular item of 
merchandise may not have been included, in all cases, 
in the same merchandise line by different stores because 
of variations in departmental organizations. There 



probably is a tendency for sales of those merchandise 
lines which were a predominant part of the sales of a 
store to include sales of secondary lines, resulting in 
overstatement of primary lines and understatement of 
secondary lines. 

There were comparatively few stores of those requested 
to report which failed to provide merchandise line sales 
analysis. Table BB below, shows the proportion of stores 
and total sales of each major kind of business group for 
which estimates of merchandise line sales are presented 
in the United States tabulations. 

Table BB. — Pekcentagb of Stores and Sales in the Mer- 
chandise Line Sales Tabulations — United States: 1948 



Kind-of-business group 



United States, total. 

Food group 

Eating and drinking places.. 

General merchandise group, general stores 

Apparel group 

Furniture, furnishings, appliance group. . . 

Automotive group 

Gasoline service stations 

Lumber, building, hardware group 

Drug and proprietary stores 

other retail stores 



Percentage analyzing 
merchandise line sales 
data 




Comparability With 1939 

In the 1939 Census of Business, commodity data were 
requested from all "chain" stores (stores of firms which 
had 4 or more retail stores) and all other stores with 
sales over $20,000. In addition, for selected lands of 
business, those data were collected from and presented 
separately for stores with less than $20,000 annual sales. 

However, in publishing tlie merchandise line data, 
only reports where the information on merchandise line 
sales was completely reported were used. In the 1939 
census, data for only 920,575 stores out of a total of 
1,404,747 stores which were requested to report mer- 
chandise line information were used in the merchandise 
line sales tabulations. 

The reports used in the 1939 tabulation represented 
65 percent of the stores requested to report, and 52 per- 
cent of all retail stores. However, because of the way 
in which the stores requested to report merchandise line 
data were selected, it is not possible to statistically meas- 
ure the arnount of error involved in estimating mer- 
chandise line sales data for all stores. 

In 1948, on the other hand, only 529,350 stores were 
requested to report merchandise line sales data. Never- 
theless, because of the introduction of samplmg 
techniques, it was possible to publish with a high and 
measurable degree of accuracy, merchandise line sales 
information representing data for 96 percent of all retail 
stores. Furthermore, because of the smaller number of 
stores from which merchandise line sales data were 
requested, it was possible to concentrate enumeration 



981779—52 3 



34 



RETAIL TRADE 



effort on obtaining more complete reporting than was 
possible in 1939, and thus to keep the amount of non 
reportmg to a minimum. 

Department Stores 

Of the 2,580 department stores in 1948, 2,560 provided 
a departmental breakdowTi of their sales. The 20 
which failed to provide such a breakdown were compara- 
tively small stores averaghig $780,000 sales per store, 
their total sales being $15,610,000 out of a total of 
$10,644,747,000. 

An analysis of sales by departments is presented in 
table CC below: 

Table CC. — Percentage of Sales, of Department Stores 
Accounted for by Major Departments: 1948 



Merchandise department 



Stores analyzing merchandise line sales, total 

Main store, total 

Piece goods and household textiles 

Small wares 

Women's and misses' ready-to-wear accessories 

Women's and misses' ready-to-wear apparel 

Men's and boys' wear 

Home furnishings 

Miscellaneous merchandise departments 

Basement store 

Other sales 



Percent of total 
of stores analyz- 
ing merchandise 
line sales 



100.0 



6.3 
6.2 
16.0 
14.2 
U.1 
21.7 
14.4 
7.0 
3 1 



The "basement store" of a department store is defined 
as "lower-price" departments of which there are counter- 
parts at higher prices in the main store. A great many 
department stores had departments located in the base- 
ment of their buildings, but only a part of them could 
be classified as "basement stores." Basement stores in 
1948 accounted for 7 percent of the total sales of all 
department stores. 

Women's ready-to-wear apparel and accessories con- 
stituted the principal merchandise group of the sales of 
department stores. They accounted for 30 percent of 
the total, whereas men's and boys' wear accounted for 
only 11 percent. Nearly 22 percent of the sales were 
made in departments selling home furnishings, while the 
piece goods and household textile departments and the 
small wares departments each accounted for 6 percent of 
the total. Only about one-fifth of the department stores 
operated a restaurant or a fountain. These eating facili- 
ties accounted for 1.5 percent of the total sales. 

Dry Goods, General Merchandise Stores 

More than half of the sales of "dry goods, general 
merchandise stores" was in the apparel and accessories 
field. "Women's, girls', infants' apparel and accessories" 
accounted for 26 percent of the total; "men's, boys' 
clothing and furnishings" for 20 percent; and "shoe and 
rubber footwear" for another 8 percent. The only other 
important merchandise line was "dry goods, bedding, 
needlework, notions, etc.," accounting for 25 percent of 
the total sales. 



Many of the "dry goods, general merchandise stores" 
sold lines of merchandise similar to "department stores," 
but did not meet the requirement of normally employing 
25 or more persons, and therefore could not be classified 
as department stores. 

Variety Stores 

As the name implies, these stores sell a great variety 
of lines, with no line dominating. Clothing and acces- 
sories of all kinds accounted for 22 percent of the total 
sales; the notions and small wares line for 10 percent; 
and the dry goods and domestics line and toys, games, 
books each accounted for 9 percent. 

The demarkation line between the small "dry goods, 
general merchandise stores" and the independent "variety 
stores" is not well defined. The lines of merchandise 
sold by many of the stores which call themselves "va- 
riety stores" or "5 and 10 cent stores" etc., are very 
similar to the lines sold by many stores, particularly in 
rural areas, which call themselves "general merchandise 
stores," or "dry goods stores," etc. 

Drug Stores 

Drug store prescription sales amounted to 13 percent 
of all sales for drug stores with fountains and 23 percent 
for those not operating fountains. 

For the first time in a Census of Business, these stores 
were requested to report data on the number of pre- " 
scriptions sold and refilled, the dollar sales of such pre- 
scriptions, and the number of registered pharmacists work- 
ing in the stores. An estimate of the number of prescrip- 
tions sold is presented for stores representing about 88 
percent of all drug stores. It is estimated that this 88 
percent sold 306,736,000 prescriptions, valued at $549,- 
038,000, an average of approximately $1.79 per pre- 
scription. 

The information on registered pharmacists presented 
represents data from about 95 percent of all drug stores. 
An estimated total of 77,496 registered pharmacists were 
active in these stores on or about December 15. This 
count includes proprietors who were registered pharma- 
cists as well as registered pharmacists who were paid 
employees. Only 9 percent of all drug stores had 3 or 
more full-time pharmacists. 

Motor Vehicle Dealers 

The 43,642 new car dealers who provided a merchan- 
dise line sales analysis stated that they sold 3,600,000 
new cars during 1948. In addition, an appreciable 
number of new passenger cars, over 20,000, was sold by 
farm equipment dealers. New car dealers also sold 
2,916,000 used cars, more than 802,000 new trucks, and 
nearly 282,000 used trucks. However, the number of 
trucks sold by retailers does not represent the major 
part of truck sales in 1948, since dealers whose primary 
source of receipts was from the sale of trucks were classi- 
fied in Wholesale Trade rather than in Retail Trade. 



SUMMARY OF FINDINGS 



35 



Table DD, below, presents sales of new and used cars 
and new and used trucks by motor vehicle dealers and by 
farm equipment dealers. The average price paid for a 
new passenger car in 1948 was $2,001, while the average 
price of a used passenger car was $936. 

Table DD. — Cars and Trucks Sold by Motor Vehicle 
Dealers and Farm Equipment Dealers — ^United States: 
1948 



Kind of bu.siness and type of vehicle 



New passenger cars, total _ 

New trucks, total 

Used passenger cars, total 

Used trucks, total 

Motor vehicle (new and used) dealers: 

New passenger cars... 

New trucks... 

Used passenger cars 

Used trucks _ 

Motor vehicle (used) dealers: 

Used passenger cars 

Used trucks _ 

Farm equipment dealers: 

New passenger cars 

New trucks... 

Used passenger cars 

Used trucks 



Vehicle sales 


Average 


Number 


Amount 

(thousand 

dollars) 


price per 
vehicle 
(dollars) 


3, 620, 533 
839, 834 

5, 623, 164 
386,440 


7, 245, 448 

1, 573, 488 

6, 170, 896 

329, 190 


2,001 

1,874 

936 

852 


3, 600, 337 
802, 401 

2, 916, 220 
281,666 


7, 204, 178 

1, 490, 785 

2, 927, 733 

240, 782 


2,001 

1,858 

1,004 

855 


2, 692, 915 
93, 706 


2, 230, 628 
78, 709 


860 
840 


20, 196 
37, 433 
14, 029 
11,068 


41, 270 

82, 703 

12, 636 

9,699 


2,043 

2,209 

901 

876 



Gasoline Service Stations 

Gasoline accounted for more than 70 percent of the 
sales of establishments classified as gasoline service 
stations in 1948. This was a reduction from the pro- 
portion of such sales in 1939, when gasoline accounted for 
75 percent of the sales of gasoline service stations with 
sales of $20,000 or more each, and 77 percent of the sales 
of smaller stations. 

Sales of gasoline were reported by many retailers 
classified in business other than gasoline service stations. 
For example, 27,788 new car dealers and 1,188 used car 
dealers reported sales of gasoline and lubricants, while 
4,332 tire, battery, and accessory dealers reported 
gasoline sales. "General stores" also reported 12,052 
stores selling gasoline, lubricants, and fuel oil, while 
considerable quantities were sold by establishments, 
such as "service garages," "tourist courts," etc., classi- 
fied in Service Trade. 

Service Keceipts of Retail Stores 

Only 14 percent of retail stores stated that part of 
their receipts resulted from services rendered to custom- 
ers. Of the total sales and receipts of $38,616,813,000 
by these stores, $2,911,514,000, or 8 percent, was for 
services and the remainder from the sale of merchandise. 

981778—52 4 



Nearly one-half of the total of all service receipts of 
retail stores was accounted for by new car dealers. 
These dealers reported service receipts of $1,365,717,000, 
practically all for shop or service labor sales. Other 
kinds of business which reported sizable receipts for 
services were gasoline service stations, with $302,702,000; 
farm equipment dealers, with $140,595,000; household 
appliance stores, $123,047,000; jewelry stores, $119,487,- 
000; and department stores, $112,029,000. 

It should be observed that the receipts of service leased 
departments located in retail stores are not included in 
the Retail Trade tabulations but have been included 
with Service Trade. 

Sales for Resale 

All large stores and multiunits and stores in the sample 
of small single-unit stores were asked to report the 
amount of their total sales which were sold to other 
retailers for resale. 

Of all retail stores, only 9 percent reported any sales 
for resale; 86 percent reported no such sales; while 5 
percent failed to answer the inquiry. The stores which 
said that they made some sales for resale had total sales 
of'$31,359,909,000, of which $3,260,923,000, or 10 per- 
cent, were "wholesale" sales. 

About one-third of all wholesale sales by retailers were 
made by new car dealers. It is probable that a consider- 
able proportion of these wholesale sales were of used 
cars which were acquired by the dealers as "trade-ins." 
Other kinds of business with a comparatively high pro- 
portion of sales for resale were "milk dealers"; "grocery 
stores, with fresh meat"; "lumber yards"; "used car 
dealers"; "tire, battery, and accessory dealers"; and 
"hay, grain, and feed stores." 

Retail Sales by Service Trade and Wholesale 
Trade Establishments 

Estabhshments classified in Service Trade reported a 
total of $1,457,874,000 of sales of merchandise during 
1948. Hotels accounted for $817,593,000 of this total, 
mainly for meals; while automobile repair shops ac- 
counted for $175,242,000. 

Wholesale Trade establishments reported sales to 
household consumers, farmers, and other individual users 
amounting to $2,093,271,000. Retail sales of farm 
products (raw materials) accounted for $557,955,000 of 
the total, while dairy, poultry products accounted for 
another $422,908,000. 



STANDARD METROPOLITAN AREAS 

(As defined by the Bureau of the Budget, June 5, 1950) 



Akron, Ohio: Summit County. 
Albany - Schenectady - Troy, N. Y.: 
Albany, Rensselaer, and Schenectady 
Counties. 
Allentown-Bethlehem-Easton, Pa.: 
Lehigh and Northampton Counties, Pa.; 
Wan-en County, N. J. 

Altoona, Pa.: Blair County. 

AsHEVii.LE, N. C: Buncombe County. 

Atlanta, Ga.: Cobb, De Kalb, and 
Fulton Counties. 

Atlantic City, N. J.: Atlantic County. 

Aur.usTA, Oa.: Richmond County, Ga.; 
Aiken County, S. C. 

Austin, Tex.: Travis County. 

Baltimore, Md.: Baltimore city, Balti- 
more and Anne Arundel Counties. 

Baton Rouoe, La.: East Baton Rouge 
Parish. 

Beaumont-Port Arthur, Tex.: Jeffer- 
son County. 

BiNr.HAMTON, N. Y.: Broome County. 

Birmingham, Ala.: Jefferson County. 

Boston, Mass.: All of Suffolk County; 
Cambridge, Everett, Maiden, Medford, 
Melrose, Newton, Somerville, Waltham, 
and Woburn cities; Arlington, Ashland, 
Bedford, Belmont, Burlington, Con- 
cord, Framingham, Lexington, Lincoln, 
Natick, North Reading, Reading, Stone- 
ham, Wakefield, Watertown, Way land, 
Weston, Wilmington, and Winchester 
towns in Middlesex County; Beverly, 
Lynn, Peabody, and Salem cities; 
Danvers, Hamilton, Lynnfield, 
Manchester, Marblehead, Middleton, 
Nahant, Saugus, Swampscott, and 
Wenham towns in Essex County; 
Quincy city; Braintree, Brookline, 
Canton, Cohasset, Dedham, Dover, 
Medfield, Milton, Needham, Norwood, 
Randolph, Sharon, Walpole, Wellesley, 
Westwood, and Weymouth towns in 
Norfolk County; Hingham and Hull 
towns in Plymouth County. 

Bridoeport, Conn.: Bridgeport city; 
Fairfield, Stratford, and Trumbull 
towns in Fairfield County; Milford town 
in New Haven County. 

Brockton, Mass.; Brockton city; Abing- 
ton, Bridgewater, East Bridgewater, 
Rockland, West Bridgewater, and 
Whitman towns in Plymouth County; 
Avon, Holbrook, and Stoughton towns 
in Norfolk County; Easton town in 
Bristol County. 

Buffalo, N. Y.: Erie and Niagara 
Counties. 

Canton, Ohio: Stark County. 

Cedar Rapids, Iowa: Linn County. 

Charleston, S. C: Charleston County. 

Charleston, W. Va.: Fayette and 
Kanawha Counties. 

Charlotte, N. C: Mecklenburg County. 

Chattanooga, Tenn.: Hamilton 

County, Term.; Walker County, Ga. 

Chicago, III.: Cook, Du Page, Kane, 
Lake, and Will Counties, 111.; Lake 
County, Ind. 

Cincinnati, Ohio: Hamilton County, 
Ohio; Campbell and Kenton Counties, 
Ky . 

Cleveland, Ohio: Cuyahoga and Lake 
Counties. 

Columbia, S. C: Richland County. 

Columbus,Ga.; Chattahoochee and Musco- 
gee Counties, Ga.; Russell County, Ala. 

Columbus, Ohio: Franklin County. 

Corpus Christi, Tex.: Nueces Countv. 

Dallas Tex.: Dallas County. 



Da VENPORT, lOWA-ROCK ISLAND-MOLINE, 

III.: Rock Island County, 111.; Scott 
County, Iowa. 

Dayton, Ohio: Greene and Montgomery 
Counties 

Decatur, III.: Macon County. 

Denver, Colo.: Adams, Arapahoe, Den- 
ver, and Jefferson Counties. 

Des Moines, Iowa: Polk County. 

Detroit, Mich.: Macomb, Oakland, and 
Wayne Counties. 

Duluth, Minn. -Superior, Wis.: St. 
Louis County, Minn.; and Douglas 
County, Wis. 

Durham, N. C: Durham County. 

El Paso, Tex.: El Paso County. 

Erie, Pa.: Erie County. 

Evansville, Ind.: Vanderburgh Coimty. 

Fall River, Mass.: Fall River city; 
Somerset, Swansea, and Westport towns 
in Bristol County, Mass.; and Tiverton 
town in Newport County, R. I. 

Flint, Mich.: Genesee County. 

Fort Wayne, Ind.: Allen County. 

Fort Worth, Tex.: Tarrant County. 

Fresno, Calif.: Fresno County. 

Galveston, Tex.: Galveston County. 

Grand Rapids, Mich.: Kent County. 

Greensboro-High Point, N. C: Guil- 
ford County. 

Hamilton-Middletown, Ohio: Butler 
County. 

Harrisruro, Pa.: Cumberland and 
Dauphin Coimties. 

Hartford, Conn.: Hartford city; Avon, 
Bloomfield, East Hartford, Farmington, 
Glastonbury, Manchester, Newington, 
Rocky Hill, Simsbury, South Windsor, 
West Hartford, Wethersfleld, and Wind- 
sor towns in Hartford County. 

Houston, Tex.: Harris Countv. 

Huntington, W. Va.-Ashland, Ky.: 
Cabell and Wayne Counties, W. Va.; 
Boyd County, Ky.; Lawrence County. 
Ohio. 

Indianapolis, Ind.: Marion County. 

Jackson, Miss.: Hinds County. 

Jacksonville, Fla.: Duval County. 

Johnstown, Pa.: Cambria and Somerset 
Counties. 

Kalamazoo, Mich.: Kalamazoo County. 

Kansas City, Mo.: Johnson and Wyan- 
dotte Counties, Kans.; Clay and Jackson 
Counties, Mo. 

Knoxville, Tenn.: Anderson, Blount, 
and Knox Counties. 

Lancaster, Pa.: Lancaster County. 

Lansing, Mich.: Ingham County. 

Lawrence, Mass.: Lawrence city; An- 
dover, Methuen, and North Andover 
towns in Essex County. 

Lincoln, Nebr.: Lancaster County. 

Little Rock, Ark.: Pulaski County. 

Los Angeles, Calif.: Los Angeles and 
Orange Counties. 

Louisville, Ky : Jefferson County, Ky.; 
Clark and Floyd Counties, Ind. 

Lowell, Mass.: Lowell city; Billerica, 
Chelmsford, Dracut, and Tewksbury 
towns in Middlesex County. 

Macon. Ga.: Bibb and Houston Coimties. 

Madison, Wis.: Dane County. 

Manchester, N. H.: Manchester city and 
Goffstown town. 

Memphis, Tenn.: Shelby County. 

Miami, Fla.: Dade County. 

Milwaukee, Wis.: Milwaukee County. 

Minneapolis-St. Paul, Minn.: Anoka, 
Dakota, Hennepin, and Ramsey Coun- 
ties. 

Mobile, Ala.: Mobile County. 



Monioomert, Ala.: Montgomery Coun- 
ty. 

MusKEOON, Mich.: Muskegon County. 

Nashville, Tenn.: Davidson County. 

New Bedford, Mass.: New Bedford eity; 
Acushnet, Dartmouth, and Fairhaveu 
towns in Bristol County. 

New Britain-Bristol, Conn.: Bristol 
and New Britain cities; Berlin, Plain- 
ville and Southington towns in Hartford 
County; Plymouth town in Litchfield 
County. 

New Haven, Conn.: New Haven city; 
Brandford, East Haven, Hamden, 
North Haven, Orange, West Haven, 
and Wood bridge towns in New Haven 
County. 

New Orleans, La.: Jeflerson, Orleans, 
and St. Bernard Parishes. 

New York-Nurtheastern New Jersey: 
New York City (Bronx, Kings, New 
York, Queens, and Richmond Counties); 
Nassau, Rockland, Suffolk, and West- 
chester Counties, N. Y.; Bergen, Essex, 
Hudson, Middlesex, Morris, Passaic, 
Somerset, and Union Counties, N. J. 

Norfolk-Portsmouth, Va.: Norfolk and 
Princess Anne Counties; and the cities 
of Norfolk, South Norfolk, and Ports- 
mouth. 

Oklahoma City, Okla.: Oklahoma Coun- 
ty. 

Omaha, Nebr.: Douglas and Sarpy 
Counties, Nebr.; Pottawattamie Coun- 
ty, Iowa. 

Peoria, III.; Peoria and Tazewell Coun- 
ties. 

Philadelphia, Pa.: Bucks, Chester, Dela- 
ware, Montgomery, and Philadelphia 
Counties, Pa.; Burlington, Camden, 
and Gloucester Counties, N. J. 

Phoenix, Ariz.: Maricopa County. 

Pittsburgh, Pa.: Allegheny, Beaver, 
Washington, and Westmoreland Coun- 
ties. 

Portland, Maine: Portland, South Port- 
land, and Westbrook cities; Cape Eliza- 
beth and Falmouth towns in Cumber- 
land County. 

Portland, Oreg.: Clackamas, Multno- 
mah, and Washington Countie.s, Oreg.; 
Clark County, Wash. 

Providence, R. I.: Central Falls, Crans- 
ton, Pawtucket, Providence, and Woon- 
soeket cities; Cumberland, East Provi- 
dence, Johnston, Lincoln, North Provi- 
dence, North Smithfield, and Smith- 
field towns in Providence County, R. I.; 
North Kingstown town in Washington 
County, R. I.; Warwick city. East 
Greenwich, and West Warwick towns 
in Kent County, R. I.; all of Bristol 
County, R. I.; Attleboro city, North 
Attleboro, and Seekonk towns in Bristol 
County, Mass.; Bellingham, Franklin, 
Plainville, and Wrentham towns in 
Norfolk County, Mass.; Blackstone and 
Millville towns in Worcester County, 
Mass. 

Racine, Wis.: Racine County. 

Raleigh, N. C: Wake County. 

Reading, Pa.: Berks County. 

Richmond, Va.: Richmond city; Chester- 
field and Henrico Counties. 

Roanoke, Va.: Roanoke city and Roa- 
noke County. 

Rochester, N. Y.: Monroe County. 

ROCKFORD, III.: Winnebago County. 

Sacramento, Calif.: Sacramento County 

Saginaw, Mich.: Saginaw County. 



St. Joseph, Mo,: Buchanan County. 

St. Loui.s, Mo.: St. Louis city, St. Charles 
and St. Louis Counties, Mo.; Madison 
and St. Clair Counties, III. 

Salt Lake City, Utah: Salt Lake County. 

San Antonio, Tex.: Bexar County. 

San Bernardino, Calif.: San Bernar- 
dino County. 

San Diego, Calif.: San Diego County. 

San Francisco-Oakland, Calif.: Ala- 
meda, Contra Costa, Marin, San Fran- 
cisco, San Mateo, and Solano Counties. 

San Jose, Calif.: Santa Clara County. 

Savannah, Ga.: Chatham County. 

ScR.ANTON, Pa.: Lackawanna County. 

Seattle, Wash.: King Countv. 

Shreveport, La.: Caddo Parish. 

Sioux City, Iowa: Woodbury County. 

South Bend, Ind.; St. Joseph County. 

Spokane, Wash.; Spokane County. 

Springfield, III.: Sangamon County. 

Springfield, Mo.: Greene County. 

Springfield, Ohio; Clark County. 

Springfield-Holyoke, Mass.; Chicopee, 
Holyoke, Springfield, and Westfield 
cities; Agawam, East Longmeadow, 
Longmeadow, Ludlow, West Spring- 
field, and Wilbraham towns in Hamp- 
den County, Mass.; Northampton city; 
Easthampton and South Hadley towns 
in Hampshire County, Mass.; Enfield 
town in Hartford County, Conn. 

Stamford-Norwalk, Conn.; Norwalk 
city; Darien, Greenwich, New Canaan, 
Stamford, and Westport towns in Fair- 
field County. 

Stockton, Calif.: San Joaquin County. 

Syracuse, N. Y.: Onondaga County. 

Tacoma, Wash.: Pierce County. 

Tampa-St. Petersburg, Fla.; Hillsbor- 
ough and Pinellas Counties. 

Terre Haute, Ind.; Vigo County. 

Toledo, Ohio: Lucas County. 

Topeka, Kans.: Shawnee County. 

Trenton, N. J.: Mercer County. 

Tulsa. Okla.: Tulsa County. 

Utica-Rome, N. Y.; Herkimer and 
Oneida Counties. 

Waco, Tex.; McLerman County. 

Washington, D. C: The District of Co- 
lumbia; Alexandria and Falls Church 
cities; Arlington and Fairfax Counties, 
Va.; Montgomery and Prince Georges 
Counties, Md. 

Waterrury, Conn.: Waterbury city; 
Naugatuck borough; Beacon Falls, Che- 
shire, Middlebury, Prospect, and Wol- 
cott towns in New Haven County; 
Thomaston and Watertown towns in 
Litchfield County. 

Wheeling, W. Va.-Steubenville, Ohio: 
Brooke, Hancock, Marshall, and Ohio 
Counties, W. Va.; Belmont and Jefler- 
son Counties, Ohio. 

Wichita, Kans.: Sedgwick County. 

Wilkes-Barre-Hazleton, Pa.: Luzerne 
County. 

Wilmington, Del.: New Castle County, 
Del.; Salem County, N. J. 

Winston-Salem, N. C: Forsyth County. 

Worcester, Mass.: Worcester city. Au- 
burn, East Brookfleld, Grafton, Holden, 
Leicester, Millbury, Northborough, 
North Brookfleld, Shrewsbury, Spencer, 
Westborough, and West Boylston towns 
in Worcester County. 

York, Pa.: York County. 

Youngstown, Ohio: Mahoning and 
Trumbull Counties, Ohio; Mercer 
County, Pa. 

37 



38 



RETAIL TRADE 




STANDARD METROPOLITAN AREAS 



39 




THE USE OF SAMPLING IN THE ENUMERATION OF 

RETAIL STORES 

CONTENTS 
Text 

Page 

Sample Design 41 

Sampling Reliability of the Estimates 42 

Text Tables 

Table 

I — Percentage Diflferences Between Total Sales Based on Universe and Sample Estimates, United States 41 

II — Sampling Variability — Merchandise Inventories at Cost, End of Year — United States 43 

III — Sampling Variability — Cash and Credit Sales, Balances Due, and Number of Credit Stores — United States 44 

IV — Sampling Variability — Merchandise Line Sales of Cooperatives, Selected Kinds of Business — United States 45 

V — Sampling Variability — ^Number of Cash and Credit Stores, Cash Sales and Credit Sales, and Merchandise Inventories — 

Cooperatives — Selected Kinds of Business 45 

VI — Sampling Variability — Weekly Pay Roll for Full Workweek Employees — ^United States 45 

VII — Sampling Variability — Trucks, Number and Total Sales of Stores Operating Trucks, Number of Stores Not Operating Trucks- 46 

VIII — Sampling Variability — Self-Service Grocery Stores, Sales, Pay Roll, Personnel — United States 46 

IX — Sampling Variability — Self-Service in Grocery Stores — Merchandise Line Sales — United States 47 

X — Sampling Variability — Sales for Resale — ^ United States 47 

XI — Sampling Variability — Merchandise Line Sales — -Food Group — ^United States 48 

XII — Sampling Variability — Merchandise Line Sales — Eating and Drinking Places — United States 48 

XIII — ^Sampling Variability — Merchandise Line Sales — General Merchandise Group, General Stores — United States 48 

XIV — Sampling Variability — Merchandise Line Sales — Apparel Group — United States 48 

XV — Sampling Variability — Merchandise Line Sales — Furniture, Furnishings, Appliance Group — United States , 48 

XVI — Sampling Variability — Merchandise Line Sales — Automotive Group and Gasoline Service Stations — United States 49 

XVII — Sampling Variability — 'Merchandise Line Sales — Lumber, Building, Hardware Group — United States 49 

XVIII — Sampling Variability — Merchandise Line Sales — Drug and Proprietary Stores — ^United States 49 

XIX — Sampling Variability — Merchandise Line Sales — Miscellaneous Kinds of Business — United States 49 

XX — Multiplication Factors for Sampling Variability — Geographic Divisions 50 

40 



THE USE OF SAMPLING IN THE ENUMERATION 

OF RETAIL STORES 



Sample Design 

The need for sampling. — Selected items of information 
were obtained only from a sample of retail stores. The 
method of sampling used made it possible to prepare 
estimated totals which have a laiown sampling variability 
for these items for all retail stores. Such estimates in 
kind-of-business detail have been prepared for the 
United States and for the nine geographic divisions. 

The sampling procedure made possible large economies 
in the cost and time of conducting and tabulating the 
census and in general concentrated reporting among 
stores with records best adapted for deriving the required 
information. It relieved a large proportion of all retail 
stores from reporting all but the basic census information 
on annual sales, pay roll and employment, and kind of 
business. 

All "large" stores (see Description of the sample, be- 
low) were required to report the items obtained on a 
sample basis (e. g., sales by merchandise lines, credit 
sales and accounts receivable, inventories, etc.) ; only 
one in ten of the "small" stores was required to report 
these items, while the remainder reported only basic in- 
formation. As there were almost 1,400,000 "smaU" 
stores, the use of the 1-in-lO sample made it possible to 
concentrate enumeration effort on the sample stores and 
thereby to improve quality and completeness of report- 
ing as well as greatly reduce the cost and time of the 
census. 

The statistics contained in volume II present data, 
derived from the sample, by kinds ©f business for totals 
of basic census items and sampled items. These total 
figures based on the sample will not agree necessarily 
with totals in other volumes. The reasons for such 
differences are discussed more fuUy in "Method of 
estimation," below. As an example, the differences 
which occur between total sales for the universe of retail 
establishments and as estimated from the sample are 
given in table I, below, for United States totals. 

Table I. — Percentage Differences Between Total Sales 
Based on Universe and Sample Estimates, United States 



Table I. — Percentaoe Differences Between Total Sales 
Based on Universe and Sample Estimates, United States — 
Connecticut. 



Kind of business 



United States, total _ 

Food group 

Grocery stores, without fresh meat. 

Grocery stores, with fresh meat 

Meat markets, flsh markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores... 
Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 



Percentage 

difference 

(sample estimate 

minus universe 

as percent 

of universe) 



+1.3 



+1.1 
+1.2 
+1.0 
+0.6 
+1.0 
+2.5 
+1.2 
+3.4 
+3.9 



Kind of business 



Eating and drinking places 

Eating places _ 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

other apparel accessory, speciaity stores 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, fui'nishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

other home furnishing stores 

Household appliance stores. 

Radio stores 

Automotive group.- 

Motor vehicle (new and used) dealers. 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drugstores 

Proprietary stores 

Liquor stores t 

Second-hand stores 

other retail stores _ 

Fuel, fuel oil dealers 

Ice dealers _ 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands _ 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores __ 

Luggage, leather goods stores 

Optical goods stores.. 

Camera, photographic supply stores. 

Office, store machine and equipment dealers. 
All other retail stores 



Percentage 

difTerence 

(sample estimate 

minus universe 

as percent 

of universe) 



+3.7 
+4.0 
+3.3 
+6.3 
+0.4 



-.1 

+.4 
+1.0 

+.4 
+1.5 

+.8 

-.7 
+3.0 

+.3 
+2.3 

+.0 
+7.9 
+1.2 
+1.3 
+2.3 
+1.3 

+.4 
+3.6 

+.3 

+.2 

+.7 
+1.5 

-.5 
+1.3 

+.3 
+3.3 
+1.9 
+1.7 

+.6 
+1.6 
-10.5 
+1.5 
+3.5 
+1.3 
+1.7 
+6.7 

+.5 
+2.8 
+L9 

+.3 

+.9 
+1.3 
+5.2 
+7.0 
+3.0 

+.8 

+.5 
+2.5 
-4.4 
-1.6 



Description of the sample. — As indicated above, the 
sample used to collect selected items of information 
from retail stores permitted the preparation of estimated 
figures with a known and sufficiently small sampling 
variability for the United States and, in most cases, 
also for the geographic divisions. To have obtained 
results with the desired degree of reliability for smaller 
areas would have required a sample considerably larger 
than that which was used and would have added con- 
siderably to the cost of the census. As the sampled 
information for the United States and geographic 
divisions satisfied many important data needs, the justifi- 
cation for a larger sample was limited. Moreover, 

41 



42 



RETAIL TRADE 



the oxteusiou of the sample would not have been possible 
withui tlie census budget without sacrificing other 
major elements of the census. 

In the census all retail stores were eniunerated, with- 
out regard to kind-of-business classification, as members 
of one of two groups. In general, the first group con- 
sisted of those stores which had $100,000 or more as 
their total sales and receipts in 1948, or were members 
of a multiunit organization, or contained a leased depart- 
ment. Members of this group were requested to report 
merchandise line sales information, credit information, 
etc., in addition to those basic data such as total sales, 
pay roll, and nvmiber of employees which were included 
on the short form schedule and were reported by all 
stores. 

The second group consisted of all other retail stores, 
namel,v, small single-unit stores. A random sample 
was selected systematically by each field enmnerator 
in the course of the first phase of envmieration for the 
purpose of including one in ten of this group. Those in 
the sample were requested to report the same information 
as the members of the first group, while the remainder 
reported basic data only. 

The first group, consisting in general of large stores, 
multiunits, and stores having leased departments in- 
cluded 391,494 stores with sales of $92,268,922,000, 
accounting for 22 percent of total retail stores and 70 
percent of total retail sales. The second group, in general 
smaller single-unit retailers, included 1,378,500 stores 
with sales of $39,950,670,000, accounting for 78 per- 
cent of the total number of stores and 30 percent of 
total sales. 

Method of estimation. — The data presented in United 
States and geographic division tables represent infor- 
mation as reported by large stores, multiunits, and leased 
departments plus small-store information estimated 
on the basis of the figures submitted by the sample of 
one in ten of these stores. 

The estimates for small single-unit stores in a geo- 
graphic division were prepared by multiplying by ten 
the data submitted in the sample reports after an 
adjustment had been made at the geographic division 
level so that the number of sample reports for each 
of the 58 kind-of-business classes equaled one-tenth of 
the total number of the stores enumerated in the kind 
of business. This adjustment was made by randomly 
eliminating or duplicating the required number of sample 
reports. The figures in geographic division tables, 
arrived at by the above method, were totaled to derive 
the figures presented in United States tables. 

Total sales for any of the 58 primary kinds of business, 
as shown in tables involving the 10 percent sample of 
small stores, may differ from those shown in tables 
where the figures are for all establishments reporting, 
whether or not in the sample. However, because of the 
adjustment procedure, the total number of stores shown 
for a kiad -of-business class which is one of the 58 will 
agree (except for differences caused by roimding) with the 



number of stores actually enumerated in that class. The 
total number of stores shown for a subdivision of any of 
the 58 kind-of-business classes will not necessarily agree 
with the known nmnber because of sampling variability. 

Use of State and metropolitan area tables. — Figures 
m State and metropolitan area tables, for example, in- 
ventories, State table lOF, are presented only for large 
stores and multiunits. Because sampling variability in 
many cases was large, small-store data, either in the form 
of actual figures reported by the sample of small stores or 
estimated for aU small stores, have not been included. 
Two methods for approximating small-store data are 
indicated below. However, because in either case the 
method of obtaining the results does not permit a meas- 
urement of their reliability, the publication of such 
figures is not regarded as appropriate for the Census 
Bureau. The use of the results obtained by these or 
similar methods must be the responsibility of the user. 

Users of these tables who wish to determine figures at 
this level for small as well as large stores may choose to 
make estimates on the basis of their own assmnptions 
regarding the characteristics of the small stores. One 
method consists of applying the experience of the sample 
of small single-imit stores shown in tables for the geo- 
graphic division which includes the State or metropolitan 
area. A second method consists of applying the large and 
multiunit experience in the pertinent State or metropoli- 
tan area table to the small single-unit stores in the same 
State. In both cases, the resulting figures could then be 
added to the known totals for large stores and multiunits 
to obtain estimated totals for the required area. 

The above pertains specifically to the foUowing tables: 
Inventories, table lOF; Employment, table 13D; Credit, 
tables llG and llH; and Merchandise line sales, tables 
D and E ia chapters 16 through 24. 

Sampling Reliability of the Estimates 

When the data are estimated from a sample, exact 
agreement with the results that would have been obtained 
from a complete enumeration is not expected. Approxi- 
mate measures of the differences which arise from sam- 
pling in the national estimates of items included in the 
tables ia volume II are given below. These measures of 
variability are given separately for each chapter and cover 
the tables included therein. In those instances where 
detailed measures of variability are not given, then- 
general relations to other measures of sampling varia- 
bility are stated. Estimates for items in geographic 
division tables are based upon a smaller sample than are 
the national estimates. Consequently, they have a 
greater degree of variability. Multiplication factors 
for the sampling variability of these geographic division 
estimates are given in the section "Geographic division 
multiplication factors," below. The measm-es of vari- 
abihty do not include biases arising from the use of 
different questionnaires, different processiag of sample 
and nonsample reports, differences of response, and in 
nonreporting biases. 



USE OF SAMPLING IN ENUMERATION OF RETAIL STORES 



43 



It should be observed, however, that some of these biases 
can arise in complete enumerations when sampling pro- 
cedures are not used. 

Merchandise inventories. — Approximate measures of 
the differences which arise from sampling in the estimates 
of the merchandise inventories at the end of 1948, pre- 
sented in tables lOA through lOD, are given below. The 
chances are about two out of three that estimated inven- 
tories would differ from the results of a complete enumer- 
ation by less than the percentages shown in the table. 

Table II. — Sampling Variability — Merchandise Inventories 
AT Cost, End of Year — United States 



Kind of business 



Food group: 

Grocery stores, without fresh 

meat - 

Grocery stores, with fresh meat-.. 

Meat markets, fish markets. 

Meat markets--- -- - 

Fish (sea food) markets- 

Fruit stores, vegetable markets-.. 
Candy, nut. confectionery stores. - 
Dairy products stores, milk deal- 
ers -- 

Dairy products stores - - 

Milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores -.. 

Delicatessen stores 

other food stores 

Eating and drinking places: 

Eating places - 

Restaurants, cafeterias, cater- 
ers..- - -- 

Limch counters, refreshment 

stands 

Drinking places '. - 

General stores -- 

General merchandise group: 

Department stores 

Dry goods, general merchandise 

stores- 

Variety stores - 

Apparel group: 

Men's, boys' clothing, furnishings 

stores 

Men's, boys' clothing stores. - 
Men's, boys' furnishings 

stores -- --- 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

other apparel accessory, spe- 
cialty stores '. 

Hosiery stores. -_ 

Corset, lingerie stores 

Apparel accessory, specialty 

stores-.- 

Shoe stores-.. 

Men's shoe stores 

Women's shoe stores 

Family shoe stores 

Children's, juveniles' shoe stores. 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Children's, infants' wear 

stores 

other apparel stores 

Furniture, furnishings, appliance 
group: 

Furniture stores.. 

Floor covering, drapery stores 

Floor covering stores 

Drapery, curtain, upholstery 

stores 

other home furnishing stores 

China, glassware, metalware 

stores 

Antique stores 

Other home furnishing stores. 

Household appliance stores 

Radio stores. 



Sampling variability of value of merchandise 
inventories ' 



Total 



(1) 



Percent 
1 
P) 
2 
2 
8 
8 
2 

2 
5 
2 
3 
9 
2 
4 
3 



(=) 



In 

stores 

with 

annual 

sales of 

less 

than 

$100,000 



(2) 



Percent 
1 
1 
4 



In 

single- 
unit 
stores 



(3) 



Percent 
1 
(2) 
2 



In stores with 

legal form of 

organization 



Corpo- 
ration 



(4) 



Percent 
1 

4 



('■) 



Non- 
corpo- 
ration 



(5) 



Percent 
1 
1 
3 



3 

10 
3 



Table II. — Sampling Variability — Merchandise Inventories 
AT Cost, End of Year — United States — Continued 





Sampling variability of value of merchandise 
inventories ' 


Kind of business 


Total 


In 

Stores 

with 

annual 

sales of 
less 
than 

$100,000 


In 
single- 
unit 
stores 


In stores with 

legal form of 

organization 




Corpo- 
ration 


Non- 
corpo- 
ration 




(1) 


(2) 


(3) 


(4) 


(5) 


Automotive group: 

Motor vehicle (new and used) 
dealers 


Percent 

1 
1 
3 
9 
2 
7 

1 

(') 
1 
2 
1 
2 

2 
9 
1 

1 

1 
1 
2 
3 

4 

7 
1 

7 
9 
11 
17 
11 
9 

1 
1 
1 
9 
1 
1 
2 
1 
2 
3 
3 
2 
3 
11 
5 
3 
3 
4 
2 
5 
5 
3 

5 
3 


Percent 
2 
3 
2 
6 


Percent 
(=) 

I 
2 
3 


Percent 

m 

2 

1 
6 


Percent 

{') 

1 

2 

4 


Motor vehicle (used) dealers 

Tire, battery, accessory dealers... 

All other automotive dealers 

Motorcycle dealers... 


Aircraft dealers 










Boat dealers 










other automotive dealers. .. 










Gasoline service stations 

Lumber, building, hardware group: 
Lumber yards, building materials 


1 
3 


1 

1 


2 

1 


1 
1 


Lumberyards 




BuUding materials dealers 










Plumbing, paint, electrical stores. 
Paint, glass, wallpaper stores 


2 


2 


2 


2 


Heating and plumbing equip- 
ment dealers.. . .. 










Electrical supply stores.. .. . 










Hardware stores 


1 
2 

1 


1 
1 

1 


2 

1 

1 


1 


Farm equipment dealers 


1 


Drug and proprietary stores: 

Drugstores _ . 


1 


Drug stores, with fountain 




Drug stores, other 










Proprietary stores 


4 


4 


8 


4 


Proprietary stores, with foun- 
tain 




Proprietary stores, other 










Liquor stores.. . 


2 


1 


3 


1 


Second-hand stores: 

Furniture stores . . . 




Tire, battery, accessory dealers... 










Clothing, shoe stores .. 










Book stores 










Pawnshops 




















other retail stores: 

Fuel fuel oil dealers . 


4 


1 


1 


2 


Fuel dealers, except fuel oil... 
















24 
3 


15 

1 


5 

1 


28 


Peed, farm, garden supply stores. 
Hay grain, feed stores 


1 














2 

4 


1 
2 


2 
2 


2 


Book stationery stores 


3 


Book stores 














Sporting goods stores, bicycle stores. 
Sporting goods stores 


4 


2 


5 


3 












Florists 


6 
5 
4 
4 
4 
9 
8 
6 

4 


6 
4 
4 
4 
3 
5 

4 

6 
3 


15 
4 

13 

19 
3 

12 
6 
7 

11 
6 


6 


Cigar stores and stands 


4 


News dealers, newsstands 

Gift, novelty, souvenir stores 


7 
4 
3 


Luggage, leather goods stores 

Optical goods stores 


9 


Camera, photographic supply stores. 
Office, store machine' and equip- 




6 


All other retail stores 


4 



' Data for stores with sales of $100,000 or more and stores of firms having more than 
one store have no sampling variability. 
2 Sampling variability is less than ^i of 1 percent. 

Estimates for merchandise inventories at the beginning 
of the year are slightly less reliable, in general, than 
those for end-of-year inventories, except for those esti- 
mates (e. g., for stores over $100,000 in sales) which have 
no sampling variability. 

Credit. — Approximate measures of the differences 
which arise from sampling in the United States estimates 
of the cash and credit sales, of balances due, and of the 
number of credit stores are given below. The chances 
are about two out of three that these estimates would 
differ from the results of a complete enumeration by less 
than the percentages shown. 



44 



RETAIL TRADE 



Table III. — Sampuno; Variability — Cash and Credit Sales, Balances Due, and Nitmber of Credit Stores — United States 



Kind of business 



Total, all kinds of business -- 

Food group 

Oroocry stores, without fresh meat 

Orocory stores, witli frosh meat.. --. 

Candy", nut. confectionery stores 

Dairy products stores, milk dealers 

All other food stores 

Eating and drinking places 

Oenera! stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores. ._ 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores- 
Family clothing stores 

■^'omen's ready-to-wear stores 

Other apparel accessory, specialty stores . 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores-. 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores. 

Radiostores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers.-- 

Tire, battery, accessory dealers 

All other automotive dealers - 

Gasoline service stations -- 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Other retail stores 

Fuel, fuel oil, ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Music stores -- 

Optical goods stores -. 

Camera, photographic supply stores 

All other retail stores 





Sales 




Balances due 


Number of stores whose credit 
sales are — 




Charge 


Install- 


On 

charge 

account 

sales 


On 

install- 
ment 
sales 






Both 


sales 

by cash 

stores 


account 

sales by 

credit 

stores 


ment 

sales by 

credit 

stores 


Only 
charge 
account 


Only 
install- 
ment 


charge 
account 

and in- 
stallment 


(1) 


(2) 


(3) 


(4) 


(5) 


(6) 


(7) 


(8) 


Percent 


Percent 


Percent 


Percent 


Percent 


Percent 


Percent 


Percent 


(') 


0) 


(') 


(') 


(>) 


0) 


1 


1 


(') 


1 


3 


1 


1 


1 


10 


8 


1 


2 


12 


1 


10 


1 


23 


17 


(') 


1 


6 


1 


3 


1 


15 


10 


2 


7 


(3) 


3 


P) 


10 


(') 


W 


2 


1 


(?) 


1 


(?) 


3 


(') 


(') 


1 


2 


3 


2 


1 


3 


20 


16 


(') 


2 


P) 


1 


28 


3 


37 


50 


4 


2 


1 


2 


1 


2 


23 


R 


(1) 


(') 


(') 


2 


2 


3 


5 


2 


(-') 


(2) 


in 


(2) 


(?) 


('-) 


(-) 


(') 


1 


1 


2 


1 


1 


3 


7 


6 


(0 


15 


9 


8 


3 


11 


22 


35 


1 


0) 


1 


0) 


1 


1 


4 


4 


1 


1 


3 


1 


3 


2 


9 


12 


1 


1 


2 


1 


2 


4 


4 


9 


1 


1 


2 


(') 


1 


2 


9 


6 


2 


10 


25 


10 


35 


8 


33 


55 


1 


2 


36 


1 


53 


4 


36 


29 


5 


6 


(0 


5 


0) 


9 


(>) 


(') 


11 


3 


2 


3 


3 


7 


17 


11 


3 


8 


16 


5 


20 


8 


19 


43 


1 


1 


1 


1 


(1) 


2 


2 


2 


3 


1 


1 


1 


1 


2 


3 


2 


4 


2 


7 


2 


6 


4 


16 


13 


3 


5 


2 


4 


3 


6 


8 


20 


3 


1 


1 


2 


1 


3 


3 


2 


4 


4 


3 


4 


2 


7 


12 


9 


1 


(') 


0) 


(0 


1 


1 


3 


1 


1 


(0 


(0 


(') 


0) 


1 


6 


1 


1 


3 


1 


4 


3 


6 


4 


6 


3 


1 


1 


1 


1 


3 


6 


3 


3 


3 


5 


8 


9 


9 


n 


13 


1 


1 


1 


1 


1 


1 


22 


5 


2 


1 


2 


1 


(0 


3 


16 


6 


2 


(') 


2 


(') 


2 


1 


11 


4 


4 


2 


4 


2 


5 


2 


23 


7 


2 


1 


1 


1 


1 


2 


5 


4 


3 


! 


1 


1 


1 


1 


16 


2 


1 


2 


14 


2 


17 


2 


12 


19 


1 


(0 


1 


(0 


1 


1 


4 


3 


2 


1 


4 


1 


3 


2 


21 


6 


2 


0) 


2 


1 


2 


1 


(') 


9 


3 


2 


1 


2 


1 


3 


4 


6 


5 


2 


1 


2 


1 


4 


6 


14 


4 


3 


8 


2 


5 


6 


24 


16 


5 


3 


Q) 


3 


(n 


3 


(5) 


(') 


4 


4 


2 


3 


4 


8 


9 


/ 


8 


6 


13 


5 


6 


8 


25 


33 


5 


3 


6 


3 


3 


/ 


85 


15 


1 


2 


5 


2- 


17 


3 


9 


9 



' Sampling variability less than }4 of 1 percent. 
- No sampling variability. 
3 Not shown in table llA, 



The table above shows the samphng variability of 
selected columns of table 11 A. The variability of the 
other columns can be judged by remembering that, 
in general, the variability of a sales estimate is smaller 
than the comparable estimate for number of stores. 
For example, the variability of the estimate of charge 
account sales by stores, all of whose credit is charge 
account credit, is smaller than the variability of the 
estimate of the number of those stores. 

The above pertains only to tables 11 A and HE. 
The following is pertinent, in general, to the other tables 
in chapter 11. In table llB estimates for corpora- 
tions have smaller variability than the comparable 
estimates in table 11 A, while the estimates for non- 



corporations are slightly higher. In table llC, estimates 
for single-unit stores have more variability than the 
comparable estimates in table 11 A; while estimates for 
multiimit stores have no variability. In table llD, 
estimates for stores with sales of less than $100,000 
have more variability than the comparable estimate 
in table 11 A, while estimates for stores over that size 
have no sampling variability. 

Selected types of operation (cooperatives) . — ^Approxi- 
mate measures of the differences which arise from 
sampling in the estimates for cooperatives of merchandise 
line sales, merchandise inventories, and credit sales 
presented in this volume are given in tables IV and V 
below. 



USE OF SAMPLING IN ENUMERATION OF RETAIL STORES 



45 



Table IV. — Sampling Variability — Merchandise Line Sales 
OF Cooperatives, Selected Kinds of Business — United 

States 



If tlio kind of business is— 



All kinds of business - 

Grocery stores, without fresh meat — 

Grocery stores, with fresh meat ..- 

Meat markets 

Fruit stores, vegetable markets 

Dairy products stores, milk dealers . . . . 

Delicatessen stores 

Eating places 

General stores 

Dry goods, general merchandise stores. - 

A pparel group 

Men's, boys' clothing, furnishings 

stores 

Household appliance, radio stores 

Motor vehicle (new and used) dealers.. 

Gasoline service stations.. ____ 

Lumber yards, building materials 

dealers --- 

Hardware stores 

Farm equipment dealers ._ 

Fuel, fuel oil, ice dealers 

Feed, farm, garden supply stores 

Book, stationery stores 

Optical goods stores 



And if the merchandise line is handled by 
the following percentage of stores: 



100 



80 



CO 



40 



20 



10 



Then the chances are about 2 out of 3 that 
estimated sales of the merchandise line 
would dilTer from the results of a complete 
enumeration by less than: 



Per- 


Per- 


Per- 


Per- 


Per- 


Per- 


cent 


cent 


cent 


cent 


cent 


cent 


(') 


{') 


(') 


(') 


C) 


(') 


2 


2 


3 


3 


5 


7 


(1) 


1 


1 


1 


1 


2 





2 


2 


3 


4 


fi 


2 


3 


3 


4 


fi 


8 


4 


4 


4 


5 


• 8 


10 


2 


2 


3 


3 


4 


6 


4 


4 


4 


5 


8 


10 


1 


2 


2 


2 


3 


4 


2 


2 


2 


3 


4 


5 


2 


2 


3 


3 


4 


fi 


fi 


7 


8 


10 


14 


20 


fi 


7 


8 


10 


14 


20 


1 


2 


9 


3 


3 


4 


(') 


(') 


1 


1 


1 


1 


1 


1 


1 


1 


1 


2 


1 


1 


2 


2 


3 


4 


1 


1 


1 


1 


2 


2 


fi 


7 


8 


10 


14 


20 


(M 


(1) 


(f) 


(') 


(') 


(') 


4 


4 


5 


6 


9 


12 


16 


17 


20 


25 


35 


49 



Per- 
cent 
(') 
9 
2 
8 
12 
14 
8 
14 
6 



29 

29 

6 

2 

3 

fi 

3 

29 



(>) 



' Sampling variability less than \i of 1 percent. 

The above table shows the sampHng variabiUty of 
column 1 of table 12E. Estimates given in columns 2, 
4, and 5 are generally more reliable than those for the 
sales of the merchandise line, column 1. Estimated 
total sales of those handling the merchandise line, column 
4, are only slightly more reliable; but the percent of 
total sales of the merchandise line, column 2, and the 
ratio of merchandise line sales to the total sales of those 
handling the line, column 5, both have far less sampling 
variability in general than does column 2. 

Table V. — Sampling Variability — Number of Cash and 
Credit Stores, Cash Sales and Credit Sales, and Mer- 
chandise Inventories — Cooperatives — Selected Kinds of 
Bl^siness 





Number of stores 
whose sales are- 


Sales 


Mer- 
chan- 
dise 
inven- 
tory, 
Dec. 
31, 
1948 


Kind of business 


Cash 
sales 
only 


Cash 
and 
credit 
sales 


Stores 
with 
cash 
sales 
only 


Cash 
sales 
by 
credit 
stores 


Charge 

account 

sales by 

credit 

stores 


United States, total. _ 
Grocery stores, with and 

without fresh meat 

Gasoline service stations 

Lumber, building, hard- 
ware group. _ . 


Percent 
5 

10 
13 

30 

9 
10 


Percent 
2 

12 
6 

9 

2 
10 


Percent 
3 

6 

8 

1 

3 
9 


Percent 
1 

9 
5 

4 

1 
6 


Percent 
0) 

3 
2 

5 

(1) 
17 


Percent 
1 

5 
5 

5 


Feed, farm, garden supply 
stores 


1 


All other retail stores 


6 



1 Sampling variability less than Yi of 1 percent. 

Table V shows the sampling variability of data in 
selected colunms of tables 12F and 12G. The chances 
are about two out of three that these estimates would 
differ from the results of a complete enumeration by 
less than the percentages shown in the table. The 
variability of other columns can be judged by remember- 
ing that, in general, estimates for merchandise inventories 



at the beginning of the year are slightly less reliable than 
those for end-of-year inventories; that the variability of 
installment sales and of balances due is much greater 
than for charge account sales; and that the variability 
of number and sales for those establishments not ana- 
lyzing sales approximates closely those for stores with 
cash sales only. 

Employment and pay roll. — Approximate measures of 
the differences which arise from sampling in the estimates 
of the weeldy pay roll for full workweek employees 
presented in tables 13A and 13B are given below. The 
chances are about two out of three that these estimates 
would differ from the results of a complete enumeration 
by less than the percentages shown in the table. 

Table VI. — Sampling Variability — Weekly Pay Roll for 
Full Workweek Employees — -United States 



Kind of business 



Food group: 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat. 

Meat markets, fish markets 

Fruit stores, vegetable markets. _ 

Candy-, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores _. 

E.gg, poultry dealers 

All other food stores 

Eating and drinking places: 

Eating places 

Drinking places 

General stores 

General merchandise group: 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group: 

Men's, boys' clothing, furnishings stores. 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores.. 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group: 

Furniture stores 

Floor covering, drapery stores 

other home furnishing stores 

Household appliance stores , 

Radio stores 

Automotive group: 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group: 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores. 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores: 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores: 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores.. 

Music stores 

All other retail stores 



Sampling 
varia- 
bility 



Percent 
1 

0) 



(0 



(') 



0) 



1 Less than \<i of I percent. 



Estimates of total weekly pay roll, total employment 
and part-time employment have approximately the 
the same reliability as estimates for full workweek em- 
ployment as given above. 



46 



RETAIL TRADE 



Trucks. — Approxiinato measures of the differences 
whioli arise from national estimates of total sales of 
stores operating trucks and analyzing them hy manufac- 
turers' rating, and number of stores reported as not op- 
erating trucks are given below. The chances are about 
two out of three that these estimates would diffei- from 
the results of a complete enumeration by less than the 
percentages shown. 

Table VII. — Sampling Variability — Trucks, Number and 
Total Sales of Stores Operating Trucks, Number of 
Stores Not Operating Trucks 



Kind of busiiie.?s 



Total all kinds of business. 

Food group- 

Grocery stores 

Meat markets, fish markets 

MUk dealers 

Bakery products stores 

Otlierfood stores.. 

Eating and drinking places 

General stores 

General merchandise group 

General merchandise, variety stores 

Apparel group 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering stores. 

Other home furnishing stores... 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers. 

Tire, battery, accessory dealers 

Other automotive dealers... 

Gasoline service stations. 

Lumber, building, hardware group 

Lumber j'ards 

Building materials dealers 

Paint, glass, wallpaper stores 

Heating and plumbing equipment dealers, 

f electrical supply stores 

Hardware stores 

' Farm equipment dealers... 

Drug and proprietary stores 

Liquor stores 



Total 
trucks 



Percent 
(') 
1 
1 
3 
1 
4 
3 
6 
4 
1 
3 
6 
1 
1 
3 
5 
1 
6 
1 
1 
6 
2 
7 
2 
1 
1 
1 
3 

3 
2 
2 

7 



Stores analyzing trucks 



Stores operating 
trucks 



Number 



Percent 
(') 
1 
1 
3 
1 
5 
3 
4 
3 
3 
4 
5 
1 
1 
3 
5 
2 
6 
1 
1 
5 
2 
8 
2 
1 
1 
1 
3 

3 
2 
I 
5 

4 



Total 
sales 



Percent 

(') 
1 
1 
2 

(') 
4 
2 
2 



(•) 



0) 
(') 



(') 
0) 
(') 



Number 
of stores 
not oper- 
ating 
trucks 



Percent 
(>) 
(') 
(') 

2 
11 
2 



0) 



Table VII.- — Sampling Variability — Trucks, Number and 
Total Sales of Stores Operating Trucks, Number of 
Stores Not Operating Trucks — Continued 





Total 
trucks 


Stores analyzing trucks 


Kind of business 


Stores operating 
trucks 


Number 
of stores 




Number 


Total 
sales 


ating 
trucks 


Second-hand stores 


Percent 

6 
1 
2 
3 
3 


Percent 

2 
3 
3 


Percent 
5 
1 

1 
0) 

6 
(>) 

1 
3 

1 


Percent 
2 


other retail stores 


1 


Futl dealers, except fuel oil 


7 


Fuel oil dealers _ 


7 


Ice dealers.. 


14 


Hay, grain, feed stores 


3 


other farm, garden supply stores 


3 


Florists .. 


3 


All other retail stores _.. 


1 







1 Sampling variability less than H of 1 percent. 

The table above shows sampling variability of selected 
columns of table 14A. The following is pertinent, in gen- 
eral, to the otheT columns in the table. Estimates for 
trucks with manufacturers' rated capacity "Less than 
lYi tons" have slightly larger variability than comparable 
estimates for all trucks. Estimates for larger rated 
capacities have variability much greater than estimates 
for total trucks. The variability of estimates for total 
sales of stores not operating trucks is of the same general 
magnitude as the variability of comparable estimates for 
total sales of stores operating trucks. Estimates for 
number and total sales of stores not reporting data on 
trucks have somewhat greater variability than com- 
parable estimates for stores reporting and analyzing 
such data. 

Miscellaneous. — Approximate measures of the differ- 
ences which arise from sampling in the estimates of 
number of stores, sales, pay roll and personnel of self- 
service retail grocery stores are given in table VIII, 
below. The chances are two out of three that estimates 



Table VIII. — Sampling Variability — Self-Service Grocery Stores, Sales, Pay Roll, Personnel — United States 



Kind of business 



Grocery stores, without fresh meat, total 

Stores with grocery department self-service, total 

Stores with grocery department not self-service... 

Stores not reporting self-service 

Single-unit grocery stores, without fresh meat, total 

stores with grocery department self-service, total 

Stores with grocery department not self-service 

Stores not reporting self-service 

Grocery stores, with fresh meat, total 

stores with grocery department self-service, total 

stores with grocery department not self-service. 

Stores not reporting self-service 

Single-unit grocery stores, with fresh meat, total. . . 

Stores with grocery department self-service, total 

Stores with grocery department not self-service.. 

Stores not reporting self-service 

' Sampling variability less than H of 1 percent. 



, Number of stores 



Total 



Percent 
(>) 



Stores with 

annual sales 

less than 

$100,000 



Percent 
(') 

3 
1 
1 



(') 



(') 



(') 



Total sales 



Total 



Percent 
1 
1 
1 
2 
1 
2 
I 
2 



(') 
(•) 



(') 



Stores with 

annual sales 

less than 

$100,000 



Full-time 
employees 



Percent 
1 
3 
1 
2 
1 
4 
1 
2 

1 
1 
2 
1 
1 
1 
2 



(') 



Percent 
1 
2 
2 
3 
2 
4 
3 
3 

(') 

(') 



Total em- 
ployees 



Percent 
1 



(0 
(0 



Total 
pay roll 



Percent 
1 
1 
1 
3 
2 
4 
3 
3 

(0 

(') 



Unincorporated 
businesses 



Number of 
active 
proprie- 
tors 



Percent 



Number of 
unpaid 
family 
workers 



Percent 



USE OF SAMPLING IN ENUMERATION OF RETAIL STORES 



47 



for these items would differ from the results of a complete 
enumeration by less than the percentages shown in the 
table. 

Approximate measures of the differences which arise 
from sampling in the estimates of merchandise line sales 
of self-service retail grocery stores presented in column 
1 in the "United States" portion of table 15E are given 
in table IX, below. The estimates of merchandise line 
sales for such stores by geographic division presented 
in the same table are subject to larger sampling varia- 
bility because the sample for each is smaller than the 
national sample. Multiplication factors for geographic 
divisions are given in the section "Geographic division 
multiplication factors," below. 

Table IX. — Sampling Variability — Self-Service in Grocery 
Stores — Merchandise Line Sales — United States 



Ta! 



LK X. — Samplinc; Variability — Sales for Resale- 
States — Continued 



-United 




Grocery stores, without fresh meat: 

Stores analyzing merchandise line 
sales, total 

Stores with self-service grocery de- 
partments analyzing merchan- 
dise line sales 

Grocery stores, with fresh meat: 

Stores analyzing merchandise line 
sales, total 

Stores with self-service grocery de- 
partment analyzing merchandise 
line sales 



And if the merchandise line is handled by 
the following percentage of stores: 


100 


80 


60 


40 


20 


10 


5 



Then the chances are about 2 out of 3 that 
estimated sales of the merchandise Ime 
would differ from the results of a complete 
enumeration by less than: 



Per- 
cent 
1 


Per- 
cent 
1 


Per- 
cent 

1 


Per- 
cent 

1 


Per- 
cent 
2 


Per- 
cent 
3 


1 


2 


2 


2 


3 


4 


(') 


(') 


(') 


1 


1 


1 


(') 


(') 


(') 


1 


1 


1 



Per- 
cent 
4 

6 

2 

2 



I Sampling variability is less than }i of 1 percent. 

Estimates given in columns 2, 4, or 5 are generally 
more reliable than those for the merchandise line, column 
1. Estimated total sales of those handling the mer- 
chandise line, column 4, are only slightly more reliable; 
but the percent of total sales accounted for by sales of 
the merchandise line, column 2, and the ratio of mer- 
chandise line sales to the total sales of those handling 
the line, column 5, both have far less sampling varia- 
bility in general. 

Approximate measures of the differences which arise 

from sampling in the estimates of sales for resale, number 

of stores reporting sales for resale, and their sales are 

given in table X, below. The chances are about two 

Table X. — Sampling Variability — Sales for Resale — United 

States 



Kind of business 



Total, all kinds of business 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets 

Fish (seafood) markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores... 

Dairy products stores.. 

Milk dealers 



Number 



?! =3 S 



Per- 
cent 
1 
1 
5 
2 
6 
14 
13 
13 
24 
3 



Per- 
cent 
(') 
(') 
(') 
(') 
(') 
4 
1 
1 
3 
5 



3 Cfl to 



Per- 
cent 
1 
2 
4 
4 
10 
22 
12 
8 
15 
132 



Total sales 



Per- 
cent 
(') 
1 
39 
1 
3 
12 
10 
8 
9 
1 






Per- 
cent 
(') 
(') 
1 
(') 
1 
4 
2 
1 
2 
1 



t^ o! (1) 

o 5"^ 



Per- 
cent 
1 
2 
5 
4 
10 
21 
17 
11 
14 
14 



ss 



Per- 
cent 
(') 
1 
4 
1 
3 
13 
12 
6 

e 

1 



Kind of business 



Food group— Continued 

Bakery products stores .- 

Egg, poultry dealers 

Delicatessen stores 

Other food stores 

Eating and drinking places 

Restaurants, cafeterias, caterers 

Lunch counters, refreshment 

stands.. 

Drinking places 

General stores. 

General merchandise group 

Department stores.. 

Dry goods, general merchandise 

stores 

Variety stores 

Apparel group... 

Men's, boys' clothing stores 

Men's, boys' furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Hosiery stores 

Corset, lingerie stores 

Apparel accessory, specialty stores 

Men's shoe stores 

Women's shoe stores 

Family shoe stores 

Children's, juveniles' shoe stores... 

Custom tailors 

Furrier, fur shops -.. 

Children's, infants' wear stores'. ... 
Other apparel stores 

Furniture, furnishings, appliance group. 

Furniture stores 

Floor covering stores 

Drapery, curtain, upholstery stores. 
China, glassware, metalware stores. 

Antique stores 

other home furnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) 

dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

Motorcycle dealers 

Aircraft dealers 

Boat dealers 

other automotive dealers 

Gasoline service stations... 

Lumber, building, hardware group 

Lumber yards 

Building materials dealers 

Paint, glass, wallpaper stores 

Heating and plumbing equipment 

dealers 

Electrical supply stores 

Hardware stores 

Farm equipment dealers ... 

Drug and proprietary stores 

Drug stores, with fountain 

Drug stores, other 

Proprietary stores, with £oimtain_. 
Proprietary stores, other 

Liquor stores 

Second-hand stores 

Furniture stores 

Tire, battery, accessory dealers 

Clothing, shoe stores 

Book stores 

Pawn shops 

Other second-hand stores . _ 

Other retail stores 

Fuel dealers, except fuel oil 

Fuel oil dealers 

Ice dealers 

Hay, grain, feed stores 

other farm, garden supply stores... 

Jewelry stores 

Book stores 

Stationery stores 

Sporting goods stores 

Bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands.. 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply 

stores - - 

OflBce, store machine and equip- 
ment dealers 

All other retail stores.. 



Number 






Per- 
cent 
5 
12 

78 



•5 

13 

4 

4 

10 

10 

11 

41 

20 

183 

22 

46 

15 

14 






Per- 
cent 
1 
2 
2 
7 
(') 
(') 

(I) 

(0 

1 

(0 



1 

(') 
(') 

2 
2 
1 

0) 
1 

7 
5 
4 
4 
4 
1 

15 
1 
3 
2 
9 
(') 
1 
4 
5 

76 
6 
4 
1 
2 
1 

1 

1 

2 

8 

23 

10 

6 

(0 

1 

1 

4 
3 



1 
1 

(') 
1 
2 
3 
5 

(') 
1 
4 
t> 
5 
21 



(') 
1 
4 
3 
1 
5 
1 
5 
3 
2 
8 
1 
1 
1 
10 
1 
3 
2 



Total sales 



o^a 



Per- 
cent 
10 
18 
17 
36 
2 
2 

2 
4 
10 
10 



36 

53 

16 

109 

8 
13 
29 
35 
32 
40 
20 
15 
23 

6 



13 

13 

179 



132 
32 
2 
7 
27 
20 
14 

71 
39 
13 
14 
10 
14 
23 
21 
44 
11 
11 
4 
32 
18 



308 
25 
5 

29 
47 
33 
14 
45 
14 
28 
41 
18 
89 
16 
13 
16 
14 
24 
71 
91 

30 



Per- 
cent 
6 
10 
67 
6 
4 
4 

7 
12 
4 
(') 



2 

10 

2 

3 

7 

2 

3 

39 

18 

131 

21 

48 

7 

9 



19 

5 

27 

25 

1 

1 

4 

13 

10 

8 

10 

2 

4 

(') 

(') 

1 

1 

11 

4 



(') 

(') 
1 
3 

4 

12 

1 

1 

3 

4 

4 

24 

25 

(') 

7 

15 

9 

54 

32 

18 

12 

1 

12 

2 

13 

1 

3 

3 

3 

4 

5 

2 



Ofll 



Per- 
cent 
2 
3 
1 
2 
(•) 
1 

1 

1 

1 

(') 



(') 

(') 

(') 
1 
2 
1 

(') 
3 
4 
5 
3 
2 
1 
1 
13 
3 
2 
3 
9 

(') 

(') 
3 
4 
4 
7 
3 
1 
2 
1 

2 
1 
2 



4 
1 

(') 

(') 
1 
3 



1 
1 
1 
1 
2 
4 

48 
1 
3 
6 

10 
6 

19 

12 
6 
(') 
1 
2 
5 
1 
2 
1 
2 
3 
3 

11 
2 
2 
3 
3 
2 
4 
4 



4^ C9 ( 



Per- 
cent 
11 
19 
(') 
36 
2 
3 

3 

4 

20 

5 



46 
47 
21 
100 

6 
92 
22 
41 
23 
60 
26 
12 
18 

2 



11 
231 



101 
3 
3 
5 
13 



499 

34 

5 

(') 

7 

55 

8 

31 

16 

3 

30 

21 

120 
21 
15 
19 
20 
19 
76 
42 



a- 



Per- 
cent 
7 
9 
27 
9 
6 
4 

5 
14 
3 
2 



3 

24 

3 

4 



3 

35 

45 

309 

39 

8 
22 



19 
4 
2 
3 
5 
21 
42 
13 
15 
2 
6 



(') 



1 
2 
9 
5 
6 
2 
5 

1 
3 
3 

4 
12 
3 
1 
4 
5 
6 
3 
37 



(0 



10 

11 

62 

35 

22 

13 

1 

2 

1 

8 

1 

3 

4 

2 

10 

7 

34 



(■) 



23 
2 

7 
23 
18 



> Sampling variability less than M of 1 percent. 



48 



RETAIL TRADE 



out of throe that estimates for these items would differ 
from the results of a complete enumeration by less than 
the percentage shown in the table. 

IMerchandise line sales. — The series of tables which 
follow jxive approximate measures of the differences 
which arise from sampling in the estimates of the mer- 
chandise line sales presented in columns 1 of tables titled 
"Merchandise Line Sales . . . United States, by 
Kind of Business: 1948," e. g., tables 16A, 17A, through 
24A. Tables 16B, 17B, through 24B are geographic 
division tables, which have smaller samples and are 
therefore subject to greater variability. Multiplication 
factors for geographic divisions are given in the section 
''Geographic division multiplication factors," below. 



Table XI. — Sampling Variability — Merchandise Line 
Sales — Food Group — United States 



If the kind of business is — 



Grocery stores, without fresh meat 
Grocery stores, with fresh nieat.__ 

Meat markets 

Fish (seafood) mailiiets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores. _ 

Dairy products stores 

Milk dealers 

Bakery products stores 

Egg, poultry dealers 

Delicatessen stores 



And if the merchandise line is handled by 
the following percentage of stores: 



100 



60 



I 



40 



Then the chances are about 2 out of 3 that 
estimated sales of the merchandise line 
would differ from the results of a complete 
enumeration by less than: 



Per- 


Per- 


Per- 


Per- 


Per- 


Per- 


cent 


cent 


cent 


cent 


cent 


cent 


1 


I 


1 


1 


2 


3 


(') 


(') 


0) 


1 


1 


1 


1 


2 


2 


3 


4 


5 


5 


5 


6 


7 


11 


15 


3 


4 


4 


5 


8 


11 


2 


2 


3 


3 


6 


7 


2 


3 


3 


4 


6 


9 


1 


1 


1 


1 


2 


2 


2 


2 


3 


4 


6 


8 


3 


4 


5 


6 


9 


13 


4 


5 


6 


7 


11 


13 



Per- 
cent 
4 
2 

7 
21 
16 
10 
12 

3 
11 
17 
21 



' Sampling variability is less than \'> of 1 percent. 

Table XII. — Sampling Variability — Merchandise Line 
Sales — Eating and Drinking Places — United States 



If the kind of business is- 



Restaurants, cafeterias. 

Caterers ___ 

Restaurants, cafeterias, caterers 

Lunch counters, refreshment stands 
Drinking places... 



And if the merchandise line is handled by 
the following percentage of stores: 



100 



Then the chances are about 2 out of 3 that 
estimated sales of the merchandise line 
would differ from the results of a complete 
enumeration by less than: 



Per- 


Per- 


Per- 


Per- 


Per- 


Per- 


cent 


cent 


cent 


cent 


cent 


cent 


1 


1 


1 


1 


2 


3 


6 


7 


8 


9 


13 


19 


1 


1 


1 


1 


2 


3 


2 


2 


2 


3 


4 


5 


1 


1 


1 


2 


2 


3 



Per- 
cent 
4 
26 
4 
7 
5 



Table XIII. — Sampling Variability — Merchandise Line 
Sales— General Merchandise Group, General Stores — 
United States 





And if the merchandise lino is handled by 
the following percentage of stores: 


If the kind of business is— 


100 


80 


60 


40 


20 


10 


5 




Then the chances are about 2 out of 3 that 
estimated sales of the merchandise line 
would differ from the results of a complete 
enumeration by less than: 


Department stores i — .. 


Per- 
cent 


Per- 
cent 


Per- 
cent 


Per- 
cent 


Per- 
cent 


Per- 
cent 


Per- 
cent 


Dry goods, general merchandise stores.. 
Variety stores ...... . .. 


1 
1 


2 


2 


1 
1 
3 


2 

1 
4 


2 
2 
6 


3 
2 


General stores 


8 







' No sampling variability. 

2 Sampling variability is less than J^ of 1 percent. 



Table 



XIV. — Sampling Variability — Merchandise 
Sales — Apparel Group — United States 



Line 



If the kind of business is- 



Men's, boys' clothing stores 

Men's, boys' furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Hosiery stores 

Corset, lingerie stores 

Apparel accessory, specialty stores 

Men's shoe stores 

Women's shoe stores. 

Family shoe stores. 

Custom tailors 

Furriers, fur shops 

Children's, infants' wear stores 



And if the merchandise line is handled by 
the following percentage of stores: 



Then the chances are about 2 out of 3 -that 
estimated sales of the merchandise line 
would differ from the results of a complete 
enumeration by less than: 



Per- 


Per- 


Per- 


Per- 


Per- 


Per- 


cent 


cent 


cent 


cent 


cent 


cent 


1 


1 


1 


2 


2 


3 


2 


2 


3 


4 


5 


7 


1 


1 


1 


1 


2 


3 


1 


1 


1 


1 


1 


2 


4 


5 


6 


7 


10 


15 


4 


5 


6 


7 


10 


14 


6 


7 


8 


10 


15 


21 


4 


4 


5 


6 


9 


12 


2 


2 


3 


3 


4 


6 


2 


2 


2 


3 


4 


5 


1 


2 


2 


2 


4 


5 


4 


5 


6 


8 


11 


16 


2 


3 


4 





7 


10 


3 


4 


5 


6 


9 


13 



Per- 
cent 

5 
10 

4 

3 
21 
20 
.30 
17 

9 



23 

15 
19 



Table XV. — Sampling Variability — Merchandise Line 
Sales — Furniture, Furnishings, Appliance Group — United 
States 



If the kind of business is- 



Furniture stores ..- 

Floor covering stores 

Drapery, curtain, upholstery stores 
China, glassware, metalware stores. 

Antique stores 

other home furnishing stores 

Household appliance stores 

Radio stores 



And if the merchandise line is handled by 
the following percentage of stores: 



Then the chances are about 2 out of 3 that 
estimated sales of the merchandise line 
would differ from the results of a complete 
enumeration by less than: 



Per- 


Per- 


Per- 


Per- 


Per- 


Per- 


cent 


cent 


cent 


cent 


cent 


cent 


1 


1 


1 


1 


I 


2 


2 


3 


3 


4 


6 


8 


4 


5 


6 


8 


11 


16 


4 


5 


5 


7 


10 


14 


7 


8 


9 


11 


16 


23 


3 


4 


5 


6 


8 


12 


I 


1 


I 


2 


2 


3 


2 


2 


3 


4 


6 


8 



Per- 
cent 
3 
12 
22 
19 
32 
16 



USE OF SAMPLING IN ENUMERATION OF RETAIL STORES 



49 



Table XVI. — Samplino Variability — Merchandise Line 
Sales — Automotive Group and Gasoline Service Sta- 
tions — United States 



And if the merchandise line is handled by 
the following percentage of stores: 



If the kind of business is- 



Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

Motorcycle dealers 

Aircraft dealers..- 

Boat dealers 

Other automotive dealers 

Gasoline service stations 



100 



80 



60 



40 



20 



10 



Then the chances are about 2 out of 3 that 
estimated sales of the merchandise line 
would differ from the results of a complete 
enumeration by less than: 



Per- 


Per- 


Per- 


Per- 


Per- 


Per- 


cent 


cent 


cent 


cent 


cent 


cent 


(') 


(') 


(') 


(') 


(') 


(') 


1 




1 


1 


2 


2 


1 




2 


2 


3 


4 


10 


11 


1.3 


16 


23 


32 


fi 




8 


9 


13 


19 


6 




8 


10 


15 


21 


.•? 




5 


6 


8 


12 


1 




1 


1 


2 


3 



Per- 
cent 
1 
3 
6 
45 
26 
29 
17 
4 



' Sampling variability is less than \i of 1 percent. 

Table XVII. — Sampling Variability — Merchandise Line 
Sales — Lumber, Building, Hardware Group — United 
States 



If the kind of business is- 



Lumber yards 

Building materials dealers 

Paint, glass, wallpaper stores 

Heating and plumbing equipment 

dealers 

Electrical supply stores.. 

Hardware stores 

Farm equipment dealers. 



And if the merchandise line is handled by 
the following percentage of stores: 


100 


80 


60 


40 


20 


10 


5 



Then the chances are about 2 out of 3 that 
estimated sales of the merchandise line 
would differ from the results of a complete 
enumeration by less than: 



Per- 


Per- 


Per- 


Per- 


Per- 


Per- 


cent 


cent 


cent 


cent 


cent 


cent 


(■) 


(') 


(>) 


1 


1 


1 


1 


1 


1 


2 


3 


4 


2 


3 


3 


4 


6 


8 


2 


3 


3 


4 


6 


8 


7 


7 


9 


11 


15 


22 


1 


1 


1 


2 


2 


3 


1 


1 


1 


1 


2 


3 



Per- 
cent 
2 

5 
12 

12 

31 

5 

4 



' Sampling variability is less than H of 1 percent. 

Table XVIII. — Sampling Variability — Merchandise Line 
Sales — Drug and Proprietary Stores — United States 



If the kind of business is- 



Drug stores, with fountain 

Drug stores, other 

Proprietary stores, with fountain 
Proprietary stores, other... 



And if the merchandise line is handled by 
the following percentage of stores: 



100 



20 



Then the chances are about 2 out of 3 that 
estimated sales of the merchandise line 
would differ from the results of a complete 
enumeration by less than: 



Per- 


Per- 


Per- 


Per- 


Per- 


Per- 


cent 


cent 


cent 


cent 


cent 


cent 


1 


1 


1 


2 


2 


3 


2 


2 


2 


3 


4 


6 


.5 


5 


6 


8 


12 


17 


/ 


7 


9 


11 


15 


22 



Per- 
cent 



24 
31 



Table XIX. — Sampling Variability — Merchandise Line 
Sales — Miscellaneous Kinds of Business — United States 



If the kind of business is— 



Liquor stores 

Second-hand stores. 

Furniture stores 

Tire, battery, accessory dealers 

Clothing, shoe stores 

Book stores 

Pawn shops.. 

Other reatil stores: 

Fuel dealers, except fuel oil 

Fuel oil dealers 

Ice dealers... 

Hay, grain, feed stores « 

Other farm, garden supply stores.. 

Jewelry stores 

Book stores - 

Stationery stores 

Sporting goods stores... 

B icy cle stores 

Florists 

C igar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply 

stores 

Office, store machine and equip- 
ment dealers- 



And if the merchandise line is handled by 
the following percentage of stores: 



80 



60 



40 I 20 

I 



10 



Then the chances are about 2 out of 3 that 
estimated sales of the merchandise line 
would differ from the results of a complete 
enumeration by less than: 



Per- 


Per- 


Per- 


Per- 


Per- 


Per- 


cent 


cent 


cent 


cent 


cent 


cent 


1 


1 


1 


2 


2 


3 


6 


7 


8 


10 


14 


21 


9 


10 


12 


15 


21 


.30 


8 


8 


10 


12 


17 


24 


21 


23 


27 


33 


46 


66 


13 


14 


17 


21 


29 


41 


1 


1 


1 


2 


2 


3 


1 


1 


2 


2 


3 


4 


5 


6 


7 


8 


12 


17 


1 


1 


1 


1 


1 


2 


2 


2 


3 


3 


5 


7 


1 


1 


2 


2 


3 


5 


2 


2 


3 


3 


5 


7 


3 


3 


4 


5 


7 


9 


3 


3 


4 


5 


7 


11 


10 


12 


14 


17 


24 


34 


3 


3 


4 


5 


/ 


11 


2 


2 


3 


3 


5 


7 


4 


4 


5 


7 


10 


14 


4 


5 


6 


7 


10 


15 


2 


2 


3 


4 


6 


8 


.■; 


6 


7 


10 


14 


21 


4 


5 


6 


8 


12 


18 


3 


3 


4 


5 


8 


11 


6 


8 


9 


12 


18 


27 



Per- 
cent 



29 
42 
35 
92 
58 

5 
G 
25 
3 



9 
13 
15 
48 
15 
10 
20 
22 
12 
30 
25 



38 



Estimates given in columns 2, 4, or 5 of the merchan- 
dise line A-tables and B-tables are generally more reliable 
than those for the sales of the merchandise line. Esti- 
mated total sales of those handling the merchandise 
line, column 4, are slightly more reliable; but the per- 
cent of total sales accounted for by the sales of the 
merchandise line, column 2, and the ratio of merchandise 
line sales to the total sales of those handling the line, 
column 5, both have far less sampling variability in 
general. 

Geographic division multiplication factors. — The esti- 
mates presented in the tables in volume II on a sample 
basis for geographic divisions are subject to larger 
sampling variability than the United States estimates 
because the sample for each is smaller than the national 
sample. Table XX, below, shows how many times 
larger is the sampling variability for each division as 
compared with that of the Nation. 



50 



RETAIL TRADE 



Table XX. — Multiplication Factors for Sampling Varia- 
bility — Geographic Divisions 



Geographic division 


Refer to the 
samplins; varia- 
bility for the 
United States 
and multiply 
by— 


Xew England 


4.0 


Middle Atlantic 


2.1 


East North Central..- .- 


2.3 




3.2 


South Atlantic . .-. 


2.8 


East South Central -.- - 


3.8 


West South Central 


3.2 




5.7 


Pacific - 


3.4 







Thus, to obtain the approximate sampling variability 
of an estimate for a particular geographic division, 
reference is first made to the table showing the sampling 
variability at the national level for the item estimated. 
The variability at the regional level is obtained by multi- 
plying this national level figure by the appropriate factor 
from the table above. This procedure is illustrated in 
the section immediately following. 

Example of how to use the tables. — The use of sam- 
pling variability tables given above is illustrated below 
ui two examples: 

1. Merchandise line tables. — Data in tables 16A and 16B of 
volume II indicate that estimated sales of fresh fruits and vege- 
tables by "Grocery stores, without fresh meat" amounted to 



$345,640,000 for the United States and $102,735,000 for the 
Middle Atlantic Division. To obtain the sampling variability 
of these figures, reference is first made to column 3 of table 16A. 
This shows that this merchandise line is handled by 59,485 of the 
152,185 stores or by 39 percent of the stores analyzing sales. 
Turning to table XI, above, and referring to the line for "Grocery 
stores, without fresh meat" and the column headed 40 percent, a 
sampling variability of approximately 1 percent is found. 
This is the guide to the sampling variability for the national 
figure. Since, as indicated above, the multiplication factor for 
the Middle Atlantic Division is 2.1, the sampling variability is 
slightly more than twice as large. Thus, in this illustration, the 
chances are two out of three that the estimates of sales of fresh 
fruits and vegetables by "Grocery stores, without fresh meat" 
would be different because of sampling from the results of a 
complete enumeration by about 1 percent at the national level 
and 2 percent for the Middle Atlantic Division. 

2. Other tables. — Data in tables lOA and lOB indicate that esti- 
mated merchandise inventories at the end of 1948 held by "Wom- 
en's ready-to-wear stores" amounted to $413,787,000 for the 
United States and $103,705,000 for the Middle Atlantic Division. 
To obtain the approximate sampling variability of these two 
figures one turns to table II, above, and refers to the line for 
"Women's ready-to-wear." In column 1 a sainpling variability 
of 1 percent is found. This is the guide to the sampling variability 
for the national figure. Since the multiplication factor for the 
Middle Atlantic Division is 2.1, the sampling variability for that 
division is more than twice as large. Thus, in this illustration, 
the chances are two out of three that the estimates of merchandise 
inventories held by "Women's ready-to-wear stores" at the year 
end would be different because of sampling from the results of a 
complete enumeration, by about 1 percent at the national level 
and 2 percent for the Middle Atlantic Division. 



LIST OF CORRECTIONS 



This volume has been prepared primarily by assem- 
bling and binding the statistical portions of previously 
issued Subject Bulletins together with additional chapters 
covering other phases of Retail Trade which were not 
issued in bulletin form. This publication plan was 
adopted to conserve public funds and expedite the 
issuance of the volume. It was found desirable to re- 
print completely or partially, the following Subject 
Bulletins for volume publication: Credit; Employment 
and Pay Roll; Merchandise Line Sales — Food Group; 



Merchandise Line Sales — General Merchandise Group, 
General Stores; Merchandise Line Sales — Automotive 
Group and Gasoline Service Stations; Merchandise Line 
Sales — Lumber, Building, Hardware Group; and Mer- 
chandise Line Sales — Drug and Proprietary Stores. In 
some instances, therefore, data will differ from that 
shown in the bulletins as originally issued. The cor- 
rections appearing below represent revisions made after 
volume copy was returned from the printer. 



["Line" and "Column" indicate the position of the item on a page. Thus "line 10" means the tenth line from the top of the table stub, counting every line on which printing appears 
regardless of presence oi entries in field. "Column 5" means fifth column from the left, not counting the stub column.] 



Chapter 



Page 



Table 
No. 



Line No. 



Item 



Column 



Change from- 



To— 



Merchandise Inventories 
Do... — 

Do.. 

Do 

Do... 

Do 

Do 

Credit 



Employment and Pay Roll 

MERCHANDISE LINE SALES— 

Apparel Group 

Furniture, Furnishings, Ap- 
pliance group. 
Do 

Automotive Group and Gas- 
oline Service Stations. 

Do 

Do.... 

Do 

Miscellaneous kinds of business 
Do 



10.05- 

10.06- 

10.06- 
10.19. 
10.20- 
10.21- 
10.22- 

10.22- 
10.27. 
11.19- 



11. 19- 
13.42. 



19.24- 
19.24- 
20.06- 

20.17- 
20.17. 
21.20- 

21.20- 
21.29- 
21,30- 
21.34. 
21.34- 
24.47- 
24.60- 



lOB... 

lOB--. 

lOB... 
lOE... 
lOE... 
lOE... 
lOE... 

lOE... 
lOF--. 



13D- 



19D. 
19D. 
20C. 

20D- 
20D- 
21D- 

21D- 
21E. 
21E. 
21E- 
21E. 
24D. 
24E- 



23- 



12 

22 

Below 25 

58. 

60 

28 



Automotive group, all other automotive dealers 

(East South Central). 
Apparel group, other apparel accessory, specialty 

stores (Pacific). 
Automotive group, all other automotive dealers. .. 
.do. 



-do. 
-do. 



Apparel group, other apparel accessory, specialty 
stores. 

Automotive group, all other automotive dealers. .. 

Sporting goods stores, bicycle stores 

Revise table number and title to read: Table 
UC— ANALYSIS OF CASH ji.ND CREDIT 
SALES AND BALANCES DUE FOR SIN- 
GLE AND MULTIUNITS— UNITED 
STATES, BY KIND OF BUSINESS: 1948— 
Continued 

Revise headnote to read: [See text for explanatory 
material and description of sample data 
included] 

Family clothing stores 



10, 11, and 12. 
10, 11, and 12. 



Entire row. 
Entire row. 
Entire row. 
Entire row. 
Entire row. 



Entire row. 
2 



other sales (Georgia), 
.do. 



Mattresses, springs, other sleep equipment. 



other sales, 
.do 



.do- 



-do- 



Not analyzing merchandise line sales- 

Box heading — Charleston, W. Va 

Fuel oil 

Tire recapping and vulcanizing 

Newspapers and magazines 

Novelty and costume jewelry 



3 

15 

Over columns 1,2, 3. 

6 

6 

6 -... 



(X). 

(X)- 

(X)- 
(X). 
(X)- 
(X). 

(x). 

(X). 

192- 



42, 10. 



108 

21, 469. 
32, 359. 



55 

7, 362. 
151-.-. 



10, 108 

772- 

Charlestown, W. Va. 

,366 

3, 19 

6,847 

7 



(1). 

(1). 

(1). 
(1). 
(1). 
(1). 
(1). 

(1). 
2, 192. 



4, 210. 



45, 611. 



Charleston, W. Va. 

1, 366. 

3, 119. 

6, 874. 

17. 



51 



MERCHANDISE INVENTORIES 



CONTENTS 



Table 



Page 



lOA Merchandise Inventories — United States, by Kind of Business, 1948: Stores, sales, and 

merchandise inventories 10.03 

lOB Merchandise Inventories — Geographic Division, by Kind of Business, 194-8: Stores, sales, 

and merchandise inventories 10.04 

lOC-1 Merchandise Inventories — Corporate Status, by Kind of Business — United States, 1948: 

Stores, sales, and merchandise inventories 10.07 

lOC-2 Merchandise Inventories — Kind of Business by Sales Size — United States, 1948: Stores, 

sales, and merchandise inventories 10 .,08 



lOD Merchandise Inventories — Single and Multiunits — United States, by Kind of Business, 1948: 

Stores, sales, and merchandise inventories 10. 11 

lOE Merchandise Inventories of Large Stores and Multiunits, and Small-Store Sample — United 
States and Geographic Divisions, by Kind of Business, 1948: Stores, sales, and 

merchandise inventories -. 10.13 

Page Page Pp.,qe 

New England 10.14 West North Central. . lOTT? West South Central. . . 10.20 

Middle Atlantic 10.15 South Atlantic 10.18 Mountain 10.21 

East North Central 10.16 East South Central. . 10.19 Pacific 10.22 



lOF Merchandise Inventories 
Stores, sales, and 

Alabama 

Arizona 

Arkansas 

California 

Colorado 

Connecticut 

Delaware 

District of Columbia.. 

Florida 

Georgia 

Idaho 

Illinois 

Indiana 

Iowa 

Kansas 

Kentucky 

Louisiana 



of Large Stores and Multiunit 

merchandise inventories 

Page 

10723 Maine 

10.23 Maryland 

10.24 Massachusetts 

10.24 Michigan 

10.25 Minnesota 

10.25 Mississippi 

10.26 Missouri 

10.26 Montana 

10.27 Nebraska 

10.27 Nevada 

10.28 New Hampshire 

10.28 New Jersey 

10.29 New Mexico 

10.29 New York 

10.30 North Carolina 

10.30 North Dakota 

10.31 Ohio 



s — State, by Kind of Business, 1948: 



10.23 



Page 
10.31 
10.32 
10.32 
10.33 
10.33 
10.34 
10.34 
10.35 
10.35 
10.36 
10.36 
10.37 
10.37 
10.38 
10.38 
10.39 
10.39 



Oklahoma 

Oregon 

Pennsylvania. . . 
Rhode Island. . . 
South Carolina. 
South Dakota. . . 

Tennessee 

Texas 

Utah 

"Vermont 

Virginia 

Washington 

West Virginia. . 

Wisconsin 

Wyoming '. 



Page 
lOT^O 
10.40 
10.41 
10.41 
10.42 
10.42 
10.43 
10.43 
10.44 
10.44 
10.45 
10.45 
10.46 
10.46 
10.47 



P. 0. - 2k 



10.01 



INVENTORIES 



10.03 



Tabic lOA.— MERCHANDISE INVENTORIES— UNITED STATES, BY KIND OF BUSINESS: 1948 

Storbs, Sales, and Mbrchandub Invsntombs 
[E^ta based on sample. See text for description of sample and other explanatory material. 1 



Kind of business 



Urtited StmtM, totttl 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets 

Fish (sea food) markets 

Fruit stores, vegetable markets 

Candy, nut, cor^ectionery stores 

Dairy products stores 

Milk dealers 

Bakery products stores 

Egg, poultry dealers 

EteHcatessen stores 

Other /ood stores 

Eating and drinking places 

Restaurants, cafeterias, caterers 

Lunch counters, refreshment stands 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing stores 

Men's, boys' furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Hosiery stores 

Corset, lingerie stores 

Apparel accessory, specialty stores 

Men's shoe stores 

Women's shoe stores 

Family shoe stores 

Children's, juveniles' shoe stores 

Custom tailors . ,^ 

Furriers, fur shops 

Children's, infants' wear stores 

Other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering stores 

Drapery, curtain, upholstery stcures 

China, glassware, metalware stores 

Antique stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 







Merchandise inventories. 


Stores 


SalM, 
entire 
year 


at cost 


End of year 


Beginning 
of year 










(Thoutand 


(Thousand 


{TTioiuand 


(HumM 


dnlbri) 


dolluri) 


dollars) 


1,770,000 


132,219,592 


14,777,031 


12,891,103 


504,415 


31,305,285 


1,590,055 


1,472,967 


154,285 


4,076,486 


345,758 


313,719 


223,655 


20,949,998 


1,096,113 


1,023,390 


23,885 


1,636,018 


21,272 


19,937 


5,578 


150,461 


2,399 


2,401 


15,753 


400,288 


6,948 


5,759 


32,873 


665,415 


35,804 


31,530 


5,795 


328,518 


9,015 


8,258 


5,937 


1,582,030 


16,267 


15,257 


20,137 


749,532 


19,157 


18,488 


5,582 


266,656 


3,018 


2,537 


8,845 


317,566 


22,059 


18,863 


2,090 


182,317 


12,245 


12,828 


346,647 


11,079,502 


426,779 


421,656 


140,111 


5,665,959 


123,755 


121,961 


53,999 


1,061,402 


24,587 


21,911 


152,537 


4,352,141 


278,437 


277,784 


21,567 


1,232,647 


202,633 


184,416 


52,554 


15,983,069 


2,214,087 


2,116,404 


2,580 


10,644,747 


1,317,826 


1,301,589 


29,753 


2,821,004 


536,257 


483,726 


20,221 


2,517,318 


360,004 


331,089 


115,677 


9,905,494 


1,818,253 


1,612,588 


14,510 


1,606,576 


375,536 


317,063 


9,222 


568,764 


156,248 


136,365 


12,534 


1,818,017 


345,266 


318,032 


30,673 


3,332,246 


413,787 


370,455 


5,718 


107,803 


8,498 


7,473 


1,683 


71,137 


9,207 


7,693 


2,815 


94,074 


20,560 


19,747 


3,250 


173,113 


27,635 


24,966 


2,323 


198,689 


34,717 


29,966 


3,230 


377,525 


58,356 


52,190 


13,713 


882,762 


224,194 


201,330 


("5 


(') 


(M 


4,948 


146,085 


21,458 


19,354 


2,355 


219,306 


45,896 


44,699 


7,386 


259,473 


67,013 


55,493 


1,029 


36,557 


6,748 


5,552 


85,570 


6,998,874 


1,389,254 


1,159,206 


29,027 


3,472,061 


752,916 


654,484 


4,807 


375,916 


77,988 


55,864 


2,943 


136,114 


26,246 


23,120 


1,496 


115,346 


25,119 


22,211 


4,953 


50,379 


24,476 


21,488 


5,428 


283,221 


29,349 


24,309 


29,699 


2,168,041 


385,861 


303,356 


7,217 


397,796 


67,299 


54,374 



Kind of business 



AutomotlTe group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

Motorcycle dealers 

Aircraft dealers 

Boat dealers 

Other automotive dealers 

Gasoline aerdce stations 

Lumber, bulldlnt, hardware group 

Lumber yards 

Building materials dealers 

Paint, glass, wallpaper stores 

Heating and plumbing equipment dealers 

Electrical supply stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores, with fountain 

Drug stores, other 

Proprietary stores, with fountain 

Proprietary stores, other 

Liquor stores 

Second-hand stores 

Furniture stores 

Tire, battery, accessory dealers ; . . . . 

Clothing, shoe stores 

Book stores 

Pawn shops 

Other second-hand stores 

Other retail stores 

Fuel dealers, except fuel oil 

Fuel oil dealers 

Ice dealers 

Hay, grain, feed stores 

Other farm, garden supply stores 

Jewelry stores 

Book stores 

Stationery stores 

Sporting goods stores 

Bicycle stores . . . 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers 
All other retail stores 



Stores 



(Humber) 



86,200 



44,036 

16,875 

20,625 

1,572 

155 

1,355 

1,582 

188,240 

98,932 
k,517 
4,585 
11,111 
7,696 
1,735 
34,675 
17,613 

55,780 



33,626 
13,312 
6,095 
2,747 

33,424 

16,958 



6,414 
2,412 
3,693 

(^) 

1,522 
2,552 

164,036 



15,279 
4,201 
3,173 

17,816 
3,745 

21,271 
2,836 
4,104 
7,074 
1,520 

14,748 
14,522 

6,807 
12,510 

6,125 

1,194 
1,890 
3,031 
2,319 
19,871 



Sales, 
entire 
year 

(Thoutand 
dollari) 



20,173,783 



15,985,886 
2,458,681 
1,380,578 
61,013 
27,922 
74,254 
185,449 

6,757,047 

11,292,563 



4,333,496 

810,272 

507,614 

585,866 

88,380 

2,541,192 

2,425,743 

4,037,480 



2,857,162 
880,737 
220,638 
78,943 

2,617,593 

315,293 



74,888 
62,793 
42,246 
(^) 
60,015 
68,559 

10,520,962 



1,654,940 

723,638 

90,302 

2,785,528 
374,089 

1,258,928 

267,055 

292,648 

310,847 

34,132 

380,468 
542,151 
228,184 
209,410 
347,352 

68,290 

74,290 

207,083 

104,711 

566,916 



Merchandise inventories, 
at cost 



End of year 

CThoiuavd 
dolloT«) 



2,078,794 



1,541,389 

201,546 

275,571 

15,470 

3,451 

15,397 

25,970 

388,825 

2,164,998 



739,912 
91,358 

109,913 
92,1^2 
16,027 

645,317 

470,309 

615,905 



411,900 

156,451 

34,253 

13,301 

330,078 

67,081 



13,003 
10,841 
8,131 
(M 
20,225 
12,764 

1,490,289 



141,702 

37,000 

2,038 

208,443 
47,591 

460,643 
36,950 
58,708 
82,922 
8,230 

16,450 
40,722 
14,452 
57,171 
83,213 

17,614 

8,646 

43,443 

19,812 

104,539 



^ Not shown — aampllng variability too hl^. 



Beginning 
of year 
(Thoutand 
dollari) 



1,583.458 



1,134,868 

161,097 

238,934 

12,009 

3,386 

13,669 

19,495 

311,102 

1,750,515 



603,866 
72,834 
94,930 
76,410 
12,900 
554,517 
335,058 

562,720 



377,439 
144,327 
28,841 
11,913 

332,322 

63,045 



11,505 
9,501 
7,629 

18,891 
13,526 

1,320,204 



108,659 

32,235 

1,595 

207,575 
41, 3 W 

413,207 

35,061 

52,072 

71,042 

6,403 

14,279 
36,180 
12,817 
48,013 
71,343 

15,987 
8,001 
35,757 
15,066 
93,598 



10.04 



RETAIL TRADE-GENERAL STATISTICS 



Tabic lOB.— MERCHANDISE INVENTORIES— GEOGRAPHIC DIVISION, BY KIND OF BUSINESS: 1948 

Stores, Sales, and Merchandise Inventories 
[Data based on sample. See text for description of sample and other explanatory material. i 



Kind of business 





New England 






Middle Atlantic 






East North Central 








Merchandise inventories, 






Merchandise inventories, 






Merchandise 


inventories, 




Sales, 


at cast 




Sales, 


at cost 




Sales, 


at cost 














Stores 


year 


End of year 


Beginning 
of year 


Stores 


year 


End of year 


Beginning 
of year 


Stores 


year 


End of year 


Beginning 
of year 




(Thousand 


(Thousand 


(Thousand 




(Thousand 


(Thousand 


(Thousand 




(Thousand 


(Thousand 


(Thousand 


.Humba) 


doUars) 


dollars) 


dollars) 


(Jiumbcr) 


dollars) 


dollars) 


dollars) 


(Number) 


dollars) 


dollars) 


dollars) 


115,23-1 


8,695,561 


899,363 


810,379 


395,767 


28,564,503 


2,997,670 


^674j535 


350,223 


29,324,017 


3,144,903 


2,750,193 


33,13* 


2,391,632 


106,285 


101,900 


123,737 


7,630,701 


328,774 


305,561 


91,577 


6,752,822 


313,364 


293,900 


9,5« 


341,438 


23,890 


23,463 


35,030 


1,280,410 


100,639 


93,264 


17,200 


624,723 


46,906 


44;435 


U,639 


1,498,065 


72,368 


68,920 


32,117 


3,723,023 


165,502 


157,950 


48,992 


4,681,920 


231,402 


217,199 


1,990 


109,569 


1,488 


1,468 


14,367 


849,295 


8,252 


7,544 


5,348 


385,049 


6,210 


5,807 


1,175 


37,007 


839 


805 


8,123 


207,577 


2,633 


2,185 


2,444 


50,162 


1,366 


1,132 


1,973 


47,802 


2,503 


2,315 


15,150 


288,146 


17,104 


14,468 


6,638 


173,551 


8,212 


7,455 


1,101 


258,781 


2,355 


2,275 


4,268 


655,238 


9,363 


8,579 


3,113 


499,346 


6,947 


6,252 


1,865 


54,041 


1,124 


1,134 
(') 


6,624 


286,173 


5,758 


6,644 


4,500 


176,392 


5,018 


4,882 


303 


(M 


2,348 


101,649 


368 


376 


1,083 


50,534 


511 


554 


546 


24,345 


1,552 


1,485 


5,700 


239,190 


17,045 


15,441 


2,259 


101,045 


6,792 


6,174 


19,633 


710,336 


25,106 


25,197 


77j929 


2,994,557 


122,743 


119,313 


77,802 


2,581,103 


110,421 


110,062 


13,0/i9 


509,117' 


11,975 


11,932 


38,314 


1,750,248 


42,847 


41,944 


34,2lS 


1,248,138 


26,743 


26,539 


6,584 


201,219 


13,131 


13,255 


39,615 


1,244,309 


79,896 


77,359 


43,584 


1,332,955 


83,678 


83,523 


560 


(M 


(M 


0) 


1,634 


111,302 


19,198 


17,657 


2,214 


147,379 


26,557 


24,216 


3,300 


884,838 


118,983 


117,685 


10,152 


3,208,900 


407,936 


397,414 


8,299 


3,922,713 


499,377 


483,755 


186 


582,681 


58,913 


69,709 


366 


2,305,927 


262,518 


259,956 


623 


2,954,378 


345, 6i2 


345,362 


1,784 


113,585 


23,129 


21,600 


6,379 


330,015 


72,372 


66,935 


3,821 


435,580 


81,518 


72,830 


1,330 


188,572 


26,941 


25,375 


3,407 


572,957 


73,046 


70,512 


3,855 


531,755 


72,217 


65,563 


9,417 


728,375 


132,415 


121,482 


35,545 


2,913,034 


512j545 


466,807 


22,450 


2,049,204 


366,452 


322,213 


2,018 


150,411 


38,945 


33,876 


7,054 


635,470 


153,880 


133,722 


4,832 


487,980 


116,392 


99,688 


850 


108,659 


20,128 


18,608 


2,225 


468,104 


68,798 


68,524 


1,930 


318,833 


55,533 


51,889 


2,338 


261,832 


31,364 


29,922 


8,783 


908,081 


103,705 


95,259 


5,430 


570,243 


78,778 


69,694 


538 


(M 


2,022 


37,131 


3,228 


2,836 


1,362 


25,570 


1,850 


1,533 


642 


25,960 


4,030 


3,888 


4,284 


178,169 


31,982 


30,133 


1,335 


65,206 


10,110 


8,592 


1,715 


110,312 


24,564 


22,867 


5,589 


431,286 


94,661 


85,391 


4,581 


337,478 


76,791 


67,547 


407 


n 


ih 


1,543 


46,869 


7,252 


5,573 


1,025 


37,820 


5,302 


4,758 


243 


20,929 


4,511 


4,144 


934 


84,528 


18,792 


18,270 


581 


59,615 


9,707 


9,263 


666 


30,990 


5,888 


6,109 


3,111 


123,396 


30,237 


24,999 


1,373 


46,459 


10,989 


9,249 


6,149 


434,159 


89,572 


78,789 


19,595 


1,548,095 


312,754 


265,959 


16j576 


1,385^079 


279,520 


233,959 


1,823 


208,278 


49,501 


45,690 


5,177 


692,117 


144,018 


128,650 


5,048 


656,215 


148,289 


130,713 


700 


37,668 


8,305 


6,272 


2, -677 


161,194 


32,967 


25,907 


1,538 


129,334 


27,358 


20,166 


1,357 


30,163 


5,087 


4,373 


4,184 


140,373 


29,202 


25,938 


1,905 


77,525 


10,172 


8,223 


1,681 


136,421 


23,184 


19,941 


5,539 


458,284 


77,227 


51,724 


6,485 


451,057 


80,504 


64,470 


588 


■21,629 


3,595 


2,513 


2,018 


196,128 


29,340 


23,730 


1,500 


71,948 


13,197 


10,382 


4,912 


1,111,682 


121,722 


87,264 


13,435 


3,393,580 


332,093 


250,128 


18,394 


4,601,391 


444,704 


348,758 


2;637 


906,039 


93,419 


63,599 


6;955 


2,725,987 


252,373 


185,210 


9,691 


3,690,180 


328,354 


253,735 


1,055 


121,996 


11,110 


9,143 


2,534 


421,085 


33,697 


25,359 


3,485 


549,366 


44,541 


35,523 


943 


70,350 


14,269 


11,693 


3,102 


195,102 


37,207 


31,684 


3,954 


266,920 


55,347 


46,739 


277 


13,297 


2,924 


2,?29 


744 


49,405 


8,316 


7,875 


1,254 


94,925 


16,462 


12,761 


11,567 


392,779 


22,795 


18,236 


31,020 


1,040,403 


60,842 


47,625 


36,990 


1,547,753 


84,511 


67,687 


4,525 


559,073 


98,815 


85,507 


15,029 


1,527,759 


297,622 


250,141 


23,568 


2,601,963 


502,837 


408.598 


1,076 


282,723 


42,443 


36,719 


3,362 


731,159 


112,868 


92,419 


5,488 


1,177,423 


188,649 


153,115 


1,238 


75,582 


13,127 


11,379 


4,343 


239,175 


46,908 


39,551 


5,404 


299,312 


59,124 


50,362 


1,908 


159,451 


35,288 


31,663 


5,082 


404,815 


104,411 


93,670 


8,236 


588,313 


151,936 


131,341 


303 


41,317 


7,957 


5,846 


1,242 


152,599 


33,435 


24,501 


4,440 


536,915 


103,123 


73,780 


4,114 


264,886 


37,778 


34,810 


12.158 


721,995 


123,753 


112,385 


10,976 


914,071 


122,766 


114,094 


3,249 


233,418 


33,186 


30,577 
(') 


10,930 


675,968 


116,330 


106,176 


9,475 


851,118 


113,740 


106,377 


865 


(M 


(') 


1,238 


46,028 


7,423 


6,209 


1,501 


62,953 


9,026 


7,717 


3,411 


231,227 


34,534 


35,592 


7,075 


617,900 


94,687 


95,362 


5,455 


417,784 


43,555 


43,333 


1,052 


20,077 


2,856 


2,645 


3,345 


58,394 


14,333 


15,187 


2,809 


52,872 


11,558 


9,992 


13,460 


941,220 


104,772 


97,554 


45,002 


2,697,881 


370,390 


330.087 


33,112 


2,348.883 


339.180 


289.526 


2,619 


351,306 


21,500 


19,292 


5,569 


769,764 


47,628 


39,885 


4,840 


506,606 


59,450 


40,856 


319 


(') 


811 


13,331 


195 


147 


582 


21,750 


435 


336 


1,030 


209,974 


14,545 


14,569 


2,895 


546,312 


43,769 


45,335 


4,608 


712,420 


59,951 


56,386 


1,309 


85,214 


27,900 


26,252 


4,537 


275,637 


108,312 


96,156 


4,502 


271,983 


97,152 


86,780 


592 


40,918 


6,910 


6,542 


2,190 


156,371 


24,785 


22,790 


1,197 


111,369 


20,054 


18,246 


613 


20,339 


5,636 


4,978 


1,817 


78,001 


21,130 


17,471 


1,987 


79,709 


19,761 


16,728 


1,075 


26,728 


700 


747 


3,757 


91,336 


4,120 


3,532 


3,034 


83,064 


3,327 


2,869 


1,265 


57,368 


3,716 


3,282 


7,777 


244,845 


19,334 


16,871 


2,306 


92,557 


6,823 


5,949 


722 


33,061 


1,805 


1,580 


3,027 


92,333 


5,678 


4,921 


979 


38,002 


2,257 


2,056 


1,346 


19,631 


3,957 


3,525 


3,482 


65,381 


17,861 


14,504 


2,143 


40,923 


9,658 


7,891 


425 


21,722 


5,736 


5,582 


1,430 


62,844 


16,575 


13,978 


1,389 


78,818 


19,518 


17,490 


82 


n 


377 


22,249 


5,765 


4,794 


213 


(M 


(M 


148 


h 


(') 


(M 


690 


22,997 


2,938 


2,846 


287 


(M 


CM 


(M 


263 


h 


(M 


n 


780 


67,181 


14,421 
(*) 


12,010 


639 


45,026 
(5) 


10,447 


7,377 


156 


(') 


(M 


(') 


361 


(1) 


(^) 


470 


(M 


(M 


1,496 


38,467 


6,566 


6,320 


5,502 


152,753 


34,715 


32,207 


3,936 


120,501 


21,876 


19,015 



Total 

Food group 

Grocery* stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, 6sh piarkets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

AU other food stores 

Eating and drinking places 

Eating places , 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores , 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores , 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores , 

Custom tailors 

Furriers, fur shops 

All othfir apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home himishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumberyards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Fann equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewehy stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Rorists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Oprical goods stores 

Camera, photographic supply stores 

OflEce, store machine and equipment dealers . 
All other retail stores 

See footnotes at end of table. 



INVENTORIES 



10.05 



Table lOB.— MERCHANDISE INVENTORIES— GEOGRAPHIC DIVISION, BY KIND OF BUSINESS: 1948— Continued 

Stores, Sales, and Merchandise Inventories 
[Data based on sample. See text for Jescription of sample and other explanatory material.] 



Kind of business 



West North Central 



i.Humba) 



Sales, 
entire 
year 

(Thousdnd 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Beginning 
of year 

{Thousand 
dollars) 



South Atlantic 



(J'^umbtr) 



Sales, 
entire 
year 

(TTiotisand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Beginning 
of year 

{Thousand 
dollars) 



East South Central 



(AtumbcT) 



Sales, 
entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at coet 



End of year 

(Thousand 
doIlaTs) 



Beginning 
of year 

(Thousand 
dollars) 



Total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, 6sh markets 

Fruit stores, vegetable markets . . . . 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores .... 

Family clothing stores 

Women's ready-tcvwear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home mrnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sportuig goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers. 
All other retail stores 



i',9,20-; 



13,431,991 



1,400,29: 



112,910 



6,495,034 



758(168 



38,319 



8,572 

22,084 

1,12'' 

379 

1,846 

1,067 

1,791 

420 

435 

35,448 



19,604 
l',844 



2,224 
5,208 



278 
2,741 
2,189 

3,978 



2,100 

1,049 

2,508 

393 

225 

1,765 

336 

176 

426 

8,518 



2,754 
405 
558 

4,226 
57' 

11,582 



5,528 

1,753 

2,862 

439 

23,480 

19,912 



4,941 
2,878 
6,239 
5,854 

6,185 



5,053 
1,132 



14, "26 



1,603 
334 

3,605 

2,328 
488 
694 
862 
653 
254 
847 
'40 
104 
125 
184 
300 

1,60: 



2,f33,''2': 



282,199 

2,006,45" 
72,486 
(M 

30,290 
129,760 
54,962 
24,830 
22,134 

959,368 



155,439 



76,444 



183,867 



164,223 



545,260 
414,108 



147,598 
1,580,422 



27,924 
119,880 
1,518 
(M 
1,380 
1,783 
1,698 
474 
1,525 

40,023 



('^ 



,746 

,504 
,48c 



,42- 
,830 
,693 
348 

,550 



30,729 

34,953 

2,242 

1,564 

3,643 

711 

1,336 

522 

644 

38,423 



419, 
2,583, 
81, 
28, 
55, 
136, 
37, 
23, 
37, 



1,006,685 
368,810 
204,927 

771,015 



10,405 
29,518 



25,699 
235,820 



9,954 
30,502 



227,716 



26,259 
12,164 



5,535 
7,385 



1,007,341 



189,251 
165,788 
259,895 
5,911 
(x) 

104,062 
(M 

17,440 
(x) 

627,751 



141,752 
62,589 
32,379 

149,123 



315,575 
28,495 
29,979 

239,215 
(M 

2,259.966 



48,185 

32,586 

33,462 

289 

(x) 

24,897 
(^) 

4,180 
(x) 

133,983 



142,485 
55,296 
29,934 

127,598 



1,847,779 
228,463 

156,474 
37,250 

332,124 

1,992,147 



73,729 
5,558 
4,138 

47,514 
(M 

257,348 



40,750 

27,918 

29,055 

326 

(x) 
21,134 

(M 

3,922 
(X) 

107,747 



414 
4,475 
2,496 

12,308 



738,199 
269,142 

287,752 

1,875,967 



38,863 

134,535 

1,444 

653 

3,218 

1,827 

803 

467 

2,056 

35,952 



33,319 

121,649 

1,223 

498 

2,614 

1,839 

751 

275 

2,054 

33,680 



44,1 94 



18,042 
17,910 



42,756 



15,204 
17,476 



38,193 
244,502 



23,149 
18,795 
446 
338 
597 
257 
389 
115 
108 

17,308 



1, 545,9 84 



1,097,545 
422,327 
357,095 



701,832 
153,330 
383,727 
753,258 

412,104 



197,736 

18,793 

35,226 

5,593 

55,424 

413,910 



61,904 
4,337 
3,501 

35,311 

(M 

194,239 



2,589 
2,367 
3,505 

464 

431 
1,725 

359 
74 

783 

9,967 



144,316 
15,287 
30,262 
4,374 

45,878 

319,923 



4,451 

594 

1,250 

3,142 

530 

10,166 



226,613 

240,218 

385,653 

11,547 

13,393 

151,676 

(M 

(M 

27,266 

837,989 



135,109 
78,409 
49,240 

192,757 



52,17' 
50,513 
47,939 
1,068 
3,516 
28,420 
(M 

fM 

6,147 
152,095 



129,804 
69,999 
44,599 

170,105 



12,642 

4,665 



4,712 
4,789 



273,947 
,170,895 
18,507 
(M 
8,562 
40,378 
(') 
(') 
12,769 

367,057 



106,829 



273,346 
93,711 



200,385 
786,847 



30,355 

73,806 
339 

(') 
401 
552 

(') 

(M 

783 

9,775 



6,080 

3,695 



33,149 
119,417 



44,077 

45,695 

42,686 

956 

3,189 
24,769 
(M 
(M 

4,945 

127,516 



135 
3,432 
1,222 

4,849 



835 
1,369 
1,304 
159 
98 
692 
155 
30 
207 

4,705 



392,132 
257,945 
136,770 

443,028 



5,169 

2,043 

2,487 

467 

26,004 

8,099 



478,787 
39,023 
50,787 

240,406 
28,986 

2,394,189 



376,284 
35,820 



981,734 



143,328 
28,165 

100,937 
141,479 

57,561 



112,562 
23,558 
84,275 
99,518 

62,115 



154,858 

(') 

441,604 

104,903 
42,608 
29,804 
31,469 
25,913 

(M 

10,604 
40,921 

(M 
(M 
(M 
(M 

54,373 



61,092 

6,469 



28,254 
3,608 



130,378 



14,054 

(M 

33,701 
37,283 
7,256 
7,584 
1,510 
1,662 

(M 

2,989 
8,791 

(=■) 
(M 
(^) 
9,173 



56,128 
5,987 

29,998 

2,880 

115,037 



1,950 
1,429 
3,522 

1,098 

6,468 



1,873,388 
29^,716 
185,124 
40,951 

809,399 

1,045,404 



91,357 
7,868 
8,026 

40,060 
4,784 

234,505 



11,122 

(M 

32,444 

32,096 
6,682 
6,671 
1,560 
1,477 

(M 
2,521 
7,236 

(^) 

(M 

8,084 



5,043 
1,425 

3,904 

1,778 

16,442 



471,022 

88,788 

325,650 

159,944 

506,825 



170,896 

21,949 

34,137 

7,523 

47,293 

185,553 



78,881 
6,320 
6,992 

31,026 
4,297 

182,505 



65,089 
17,382 
75,983 
28,099 

67, 539 



127,624 

16,955 

32,247 

5,668 

37,575 

150,875 



2,319 

165 

366 

1,657 

197- 

5.101 



82,958 

131,562 
153,878 

CM 

(') 

56,159 

(M 

(M 
(M 

352,351 



47,704 
52,676 
19,037 

79,918 



18,779 

29,092 

18,348 

(M 

(') 

10,033 

(M 

(') 

(M 

69,048 



1,775 
343 

2,988 

2,439 
570 
733 

1,733 
500 
652 

1,332 
645 
77 
233 
260 
261 

1,800 



460,304 
46,521 

448,422 

40,348 

1,143,291 



206,282 
23,857 

429,101 

150,725 
52,859 
28,572 
44,818 
39,917 
21,333 
17,235 
35,418 

(M 

(M 
14,704 

(M 
48,802 



50,628 
5,911 



40,819 



154,579 



50,885 
14,308 
65,259 
20,423 

60,915 



2,751 
833 

1,369 
148 

10,752 

4,875 



218,010 

(') 

11,146 
106,956 

(M 

1,174.266 



44,212 

(M 

1,792 
19,749 
(M 

117.236 



927,436 
141,567 

94,426 

(x) 

353,576 
547,455 



86,581 
10,484 
18,224 
(x) 

20,575 

100,850 



15,948 
788 
35,051 
53,274 
9,226 
7,008 
1,764 
2,206 
1,219 
5,560 
7,643 

(M 

2,391 
(M 

7,533 



55,309 
5,606 

43,770 

9,640 

136,796 



1,269 
738 

2,014 
855 

3,303 



2,679 
524 

1,013 

829 

5,479 



220,012 
42,093 
168,062 
117,288 

215,165 



31,812 

7,451 

39,499 

22,088 

31,015 



199,251 
(M 



122,734 
16,613 



369,172 



12,085 
547 

33,675 

48,132 
7,997 
5,904 
1,375 
1,927 
1,053 
4,598 
6,240 

(M 

(M . 
1,854 

(M . 
6,777 



963 

213 

1,396 

1,012 

164 

27'' 

752 

160 

150 

313 

216 

29 

67 

-71 

102 

574 



65,790 

6,660 

138,748 

61,736 

11,056 

(M 

15,139 
7,581 

(M 

(M 

11,876 

(M 

(M 

(M 

(') 

(M 



28,063 
{') 



10,441 
3,947 



56,667 



4,841 

• 126 
12,787 
23,832 
2,247 
(M 
653 
403 

^'' 
(M 
2,713 
CM 

(M 
(M 

<J' 

(M 



93,375 



25,015 
55,867 

317 

(') 

374 

442 

(M 
(M 

847 
8.913 



5,254 
3,659 



30,117 
110,604 



47,184 
46.691 
16,729 

68.730 



15,431 
25,979 
15,830 

(M 
(M 

8,722 

(M 
CM 

56.729 



37,870 

(M 

1,555 
14,891 
CM 

86.960 



64,426 

8,217 
14,775 
Cx) 

15,629 

79,196 



25,655 
6,029 
32,968 
14,544 

27,962 



25,294 

CM 



3,928 
49,061 



3,720 

72 

11,328 

20,749 

2,044 

CM 

534 
348 

(M 
(M 

2,393 

(J> 
CM 
CM 

CM 
CM 



See footnotes at end of table. 



10.06 



RETAIL TRADE-GENERAL STATISTICS 



Table lOB.— MERCHANDISE INVENTORIES— GEOGRAPHIC DIVISION. BY KIND OF BUSINESS: 1948— Continued 

Storss, Sales, and Mbrchandise Tnyemtomis 

[Data based on sample. See text for description of sample and other explanatory material. 1 



ICind of business 



West South Central 



^T^umber) 



Sales, 
entire 
year 

{Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Mountain 



Q^umber) 



Sales, 
entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Beginning 
of year 

(Thousand 
dollars) 



PaciBc, 



Stores 



(J^umberJ 



Sales, 
entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Total 

Food group 

Grocery stores, Nv-ithout fresh meat 

Grocery stores, wnth fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, mUk dealers 

Bakery products stores 

Egg, poultry dealers 

/ST other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, fiimishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores ^-.. ._ 

Furniture, f lunishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home nimishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Limiber yards, btiilding materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers ,. 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

l^orists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment driers. . 
All other retail stores- 



11,067,896 



1,32^,928 



1,111,442 



59,849 



4,731,846 



581,434 



1,759,657 



50,275 



18,010 

27,757 

1,004 

455 

1,226 

315 

1,026 

284 

198 

31,882 



19,978 

11,904 



6,393 



201 
3,913 
2,279 

7,063 



1,279 
1,540 
2,123 

218 

148 
1,017 

238 
24 

476 

7.245 



3,200 
333 
654 

2,765 
293 

10,240 



4,636 
2,121 
3,111 

372 

19,822 
10,014 



3,913 
1,492 
2,618 
1,991 

5,909 



4,594 
1,315 



3,722 



2,197 



11 .423 



631 
364 

2,559 

1,667 
469 
561 

1,379 
366 
429 
603 
490 
78 
127 
137 
267 

1,296 



2,426,895 



148,178 



291,380 
1,964,238 
40,167 

C') 

12,458 
53,283 
28,120 
16,790 
12,729 

707,456 



26,000 
117,753 
845 
(^) 
574 
848 
768 
325 
848 

18,399 



133,227 



12,732 



962,679 



55,678 



34,003 



190,641 



23,528 
105,682 
710 
(1) 
550 
815 
688 
234 
818 

17,317 



3,125 
7,558 
325 
153 
543 
346 
523 
48 
111 

12,797 



514,353 
193,103 

177,711 

1,382,119 



739,412 
428,173 
214,534 

697.043 



8,860 
9,539 

29,997 

211,537 



96,365 
82,449 
32,723 

127,032 



7,840 
9,477 



27,110 
196,894 



93,031 
73,921 
29,942 

109,409 



7,047 
5,750 



830 
1.93P 



80,740 
790,004 
23,621 

P) 
30,235 

404,470 



109 
1,094 
727 



229,666 
174,804 



84,774 
531,783 



7,200 

45,347 

600 

9) 
,519 

(^) 
15,824 



127,989 
196,109 
241,673 
(') 
8,427 
91,468 
(^) 

573.051 



322,343 
20,592 
28,672 

194,175 

2,046,170 



28,962 
41,994 
32,387 

(h 

1,114 
16,934 
(M 
CM 
(M 

115,324 



69)739 
3,584 
5,525 

34,738 

219,947 



22,996 
37,863 
27,858 

(h 

986 
14,982 

(h 
(M 
(1) 

90,548 



631 

435 

960 

99 

64 

418 

119 

44 

243 

2,726 



277,238 
174,999 
79,546 

244,559 



4,260 
11', 564 



84,649 



6,389 

43,372 

622 

^] 

493 
(M 
(') 
(M 

15,435 



4,239 
11,196 



8,928 

16,160 

2,616 

1,022 

1,247 

554 

2,083 

459 

934 

35,425 



57,423 
2,449 
4,419 

25,129 
CM 

158,383 



1,547,048 
277,633 
197,072 
(x) 

618,016 



155,725 
20,744 
39,800 
Cx) 

37,960 

228,668 



667,525 
37,668 
172,701 
287,204 

370,050 



110,558 
15,061 
47,917 
55,132 

58,471 



105,238 
16,421 
33,931 

(x) 

29,573 
181,922 



974 
177 
164 
1,212 
199 

3,894 



53,367 
54,021 
87,830 

(h 

(x) 
33,472 
C') 
(M 
(X) 

243,086 



42,888 
29,307 
12,454 

51,441 



126,414 

CM 

CM 

88,852 

CM 

807,622 



13,735 
12,904 
12,966 

CM 

Cx) 

8,642 

C^) 

CM 
Cx) 

49,458 



41,836 
26,332 
10,841 

43,855 



22,999 
12,426 



5,098 



482,578 
2,532,245 

206,624 
42,880 
40,135 

107,375 
71,309 
29,500 
45,557 

1,347,814 



43,981 

133,919 

2,975 

835 

2,070 

1,038 

1,966 

473 

3,334 

43,536 



919,034 
428,780 



50,369 



19,130 
29,406 



8,453 



11,505 
11,593 
11,254 

(M 

(x) 

7,112 

CM 

CM 

Cx) 
40,369 



263 
2,114 
2,716 

11,954 



1,238,749 
288,569 
231,162 

979,184 



176,935 
53,708 
41,967 

206,570 



333,083 
36,967 

167,175 

36,113 

650,999 



52,271 
6,200 

24,074 

7,696 

97,645 



89,807 
12,863 
40,916 
38,336 

51,887 



2,231 
696 
774 
193 

8,355 

4,169 



1,320 
739 

1,123 
982 

1,920 



653,461 
81,021 
53,284 
(x) 

329,632 

559,484 



CM 

CM 

16,906 

CM 

92,438 



22,997 

CM 

(M 
13,473 



2,394 
769 

3,722 
463 
520 

1,951 
756 
249 

1,130 

10,039 



68,724 



253,664 
53,726 
92,776 

159,318 

162,489 



69,451 
8,767 

11,029 
Cx) 

19,853 

109,241 



46,980 
4,907 



7,236 
84,745 



61,730 
CM 

241,207 
111,291 
- 35,235 

25,610 

31,873 

18,859 
CM 
CM 

30,147 
6,341 
CM 

11,146 
CM 

36,495 



5,088 

CM 
17,100 
36,648 

6,268 

6,910 

1,969 
971 

CM 

CM 

6,489 
1 1,384 

C') 

1,784 

C') 

6,767 



4,127 

C^) 

15,576 

33,086 

4,994 

5,925 

1,531 

771 

CM 

CM 

5,011 
1,421 

CM 

1,536 

C^) 

5,404 



1,660 
260 



1,283 
765 



5,435 



45,891 
7,817 
23,791 
31,742 

■26,307 



50,776 
5,609 

10,526 
Cx) 

16,846 

85,331 



3,281 
1,160 
1,439 
2,992 
1,217 

8,476 



221,301 

134,723 

363,161 

8,042 

Cx) 
156,430 

19,348 

CM 

31,711 

896,312 



454,322 
72,266 
73,487 

252,665 
43,572 

2,374,917 



60,728 
32,613 
54,838 
573 
Cx) 
35,459 

3,289 

CM 

9,879 

187,400 



104,507 
13,941 
13,940 
45,979 

9,033 



540 
38 
624 
922 
218 
414 
431 
234 
162 
646 
187 
63 
42 
111 
122 
681 



CM 

82,729 

CM 

303,367 



24,921 
C*) 

3,934 

CM 

51,983 



35,551 
6,950 
19,300 
23,530 

23,777 



3,438 

2,255 

2,023 

760 

20,250 

8,740 



44,881 

C*) 
88,666 
43,671 
17,932 
19,874 

',' 
CM 
CM 

CM • 

15,690 
C') 
(M 

CM' 
CM 
(M 



3,732 
CM 
8,136 
17,747 
3,621 
5,275 
CM 
CM 
CM 
CM 
3,717 
CM 

CM 
CM 
CM 
CM 



22,535 
CM 

8,922 

CM 



46,503 



2,783 

2,231 

2,828 

848 

4,737 



1,308,568 
342,334 
160,826 
Cx) 

333,365 

1,244,180 



3,534 
CM 
7,426 
15,956 
3,038 
4,622 
CM 
CM 
CM 

CM 

3,257 
CM 

CM 
CM 
CM 
CM 



4,255 
482 



4,437 

2,478 

18,157 



638,398 
142,186 
245,696 
217,900 

468,893 



258,801 
186,854 
31,461 
30,332 
Cx) 



226,502 



453,331 
CM 



326,599 
54,690 



90,632 
23,066 
65,555 
47,249 

80,715 



78,120 
C^) 



10,484 



184,695 



940 

169 

1,856 

2,555 

■ 1,052 

1,498 

1,715 

1,161 

422 

1,798 

802 

171 

171 

536 

280 

2,981 



117,361 

CM 
351,585 
153,768 
81,355 
50,232 
41,907 
46,322 
15,896 
30,442 
49,916 
CM 
7,435 
33,707 
CM 
73,966 



6,361 

CM 

30,994 
58,49'5 
15,291 
14,653 
1,655 
4,895 
1,495 
10,686 
12,031 
CM 

664 
8,148 

c5>v 

13,668 



X Withheld to avoid disclosure. 

^ Not shown — sampling variability too high. 



INVENTORIES 10.07 

Tabic lOC-l.— MERCHANDISE INVENTORIES— CORPORATE STATUS, BY KIND OF BUSINESS-UNITED STATES: 1948 

Stoum, Sales, and Merchandise Inventories 
[See tejrt for explanatory material and description nf sample data included] 



Kind of business 



Total 



Stores 



(T^umber) 



Sales, 
entire 
year 

dollars) 



Merchandise inventories, 

at coat 



End of year 

(Thousdud 
dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Corporations 



Stores 



Qiumber) 



Sales, 
entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Beginning 
of year 

(TTiousand 
dollars) 



Other legal forms 



(T^umber) 



Sales, 
entire 
year 

(Thxmsand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Beginning 
of year 

(Thousand 
dollaTs) 



United States, total. 



Food group 

Grocery stores, without fresh meat. 
Grocery stores, with fresb meat . . . . 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores. . . 
Dairy products stores, milk dealers . 

Bakery products stores 

Egg, poultry dealers 

All other food stores , . . . . 



Eating and drinking places. 

Eating places 

Drinking places 



General stores. 



General merchandise group 

Department stores 

Dry goods, general merchandise stores . 
Variety stores 



Apparel group 

Men's, boys' clothing, furnishings stores . 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores . 

Shoe stores 

Custom tailors : . . . 

Furriers, fur shops 

All other apparel stores 



Furniture, furnishings, appliance group . 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 



Automotive group 

Motor vehicle (new and used) dealers. 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 



Gasoline service stations . 



Lumber, building, hardware group. 

^ Lumber yards, building materials dealers . 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 



Drug and propriatary stores . 

Drug stores 

Proprietary stores 



Liquor stores 

Second-hand stores. 



Other retail stores 

Fuel, fuel oil dealers 

Ice dealers , 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store madune and equipment dealers . 
All other retail stores 



1,770,000 



132,219,592 14,777,031 12,891.103 



21.4,101 



31,305.285 



154 
223 
29 
15 
32 
11 
20 
5 
10 



,285 
,655 
,463 
,753 
,873 
,732 
,137 
,582 
,935 



194,110 
152,537 



21,567 
52,554 



4,076,486 
20,949,998 

1,786,479 
400,288 
665,415 

1,910,548 
749,532 
266,656 
499,883 

11,079,502 



2,580 
29,753 
20,221 

115,677 



23,732 

12,534 

30,673 

5,718 

7,748 

19,554 

4,948 

2,355 

8,415 

85,570 



29,027 
7,750 
11,877 
29,699 
7,217 

86,200 



44,036 
16,875 
20,625 
4,664 

188,240 

98,932 



26,102 
20,542 
34,675 
17,613 

55,780 



46,938 
8,842 

33,424 

16,958 

164,036 



,480 
,173 
,561 
,271 
,940 
,594 
,748 
,522 
,807 

510 
,125 
,194 
,890 
,031 
,319 

871 



6,727,361 
4,352,141 



1,232,647 
15,983,069 



10,644,747 
2,821,004 
2,517,318 

9,905,494 



2,175,340 

1,818,017 

3,332,246 

107,803 

338,324 

1,472,343 

143,085 

219,306 

296,030 

6,998,874 



3,472,061 
512,030 
448,946 

2,168,041 
397,796 

20,173,783 



15,985,886 

2,458,681 

1,380,578 

348,638 

6,757,047 

11.292.563 



5,143,768 
1,181,860 
2,541,192 
2,425,743 

4,037,480 



3,737,899 
299,581 

2,617,593 

315,293 

10.520:962 



2,378,578 

90,302 

3,159,617 

1,258,928 

559,703 

344,979 

380,468 

542,151 

228,184 

209,410 

347,352 

68,290 

74,290- 

207,083 

104,711 

566,916 



1,590,055 



345,758 

1,096,113 

23,671 

6,948 

35,804 

25,282 

19,157 

3,018 

34,304 

426,779 



148,342 
278,437 



202,633 



1,317,826 
536,257 
360,004 

1,818,253 



531,784 

345,266 

413,787 

8,498 

57,402 

320,401 

21,458 

45,896 

73,761 

l)389,254 



752,916 
104,234 

78,944 
385,861 

67,299 

2,078,794 



1,541,389 

201,546 

275,571 

60,288 

388,825 

2,164,998 



831,270 
218,102 
645,317 
470,309 

615,905 



568,351 
47,554 

330,078 

67,081 



178,702 
2,038 

256,034 

460,643 
95,658 
91,152 
16,450 
40,722 
14,452 
57,171 
83,213 
17,614 
8,646 
43,443 
19,812 

104,539 



1,472,967 



313 

1,023 

22 

5 

31 

23 

18 

2 

31 



,719 
,390 
,338 
,759 
,530 
,515 
,488 
,537 
,691 



39,287 



143,872 
277,784 



184,416 



1,301,589 
483,726 
331,089 

1,612,588 



453,428 

318,032 

370,455 

7,473 

52,406 

285,696 

19,354 

44,699 

61,045 

1,159,206 



654,484 
78,984 
68,008 

303,356 
54,374 

1,583,458 



1,134,868 
161,097 
238,934 
48,559 

311,102 

1,750,515 



676,700 
184,240 
554,517 
335,058 

562,720 



521,966 
40,754 

332,822 

63,045 



140,894 
1,595 
248,889 
413,207 
87,133 
77,445 
14,279 
36,180 
12,817 
48,013 
71,343 
15,987 
8,001 
35,757 
15,066 
93,598 



7,931 

20,778 

1,414 

326 

3,222 

2,818 

1,958 

204 

636 

20,582 



13,000 
7,582 



1,589 
15,672 



2,454 
5,912 
7,306 

26,709 



5,516 

2,586 

7,081 

951 

1,690 

7,060 

529 

548 

748 

18,015 



7,077 
1,246 
1,340 
7,630 
722 

21,628 



14,316 

1,815 

4,840 

657 

8,666 

23,932 



12,629 
3,881 
4,898 
2,524 

8,404 



7,810 
594 



3,213 
1,139 



25,265 



5,020 

385 

5,234 

3,349 

1,575 

684 

1,057 

1,518 

1,235 

413 

909 

155 

525 

561 

149 

2,496 



61,463,469 6,642,744 



12,126,978 



934,476 

9,103,659 

245,996 

31,456 

219,268 

1,260,389 

145,957 

24,813 

160,964 

2,162,974 



1,727,950 
435,024 



10,528,810 
1,680,390 
2,081,894 

5,576,240 



1,075,056 

1,138,288 

2,027,843 

35,314 

156,373 

915,380 

51,466 

112,442 

64,078 

3,269,999 



1,767,284 
186,632 
238,500 
923,376 
154,207 

10,969.863 



9^,578,401 
611,023 
671,465 
108,974 

797,861 

5,335,264 



3,354,414 
428,138 
962,885 
589,827 

1,389,009 



1,333,813 
55,196 



367,646 
59,231 



4,760,568 



1,347,908 
49,297 
1,493,691 
559,027 
335,498 
111,807 
70,800 
190,704 
67,096 
29,770 
158,638 
22,570 
32,712 
82,593 
22,963 
185,494 



5,908,101 :i,555,899 



395.549 



50,269 


53,754 


307,180 


302,846 


3,490 


3,719 


569 


490 


8,913 


7,783 


14,027 


13,715 


2,146 


2,023 


304 


284 


10,170 


10,935 



42,476 
30,394 



52,579 
1,806,284 



1,300,451 
249,782 
256,051 

803,557 



223,203 
161,187 
201,359 
1,618 
19,795 
152,809 
8,147 
22,627 
12,812 

606,930 



371,296 
38,183 
30,559 

145,069 
21 ,823 

1,044,488 



849,502 
47,685 

129,502 
17,799 

44,550 

949,061 



552,434 
77,998 
200,874 
117,755 

177,144 



170,206 
6,938 



58,553 
10,928 



618,732 



109,925 

1,446 

130,823 

178,402 

47,540 

25,722 
2,676 

12,608 
3,426 
6,754 

36,310 
5,801 
4,024 

16,914 
4,440 

31,921 



75,659 



44,983 
30,676 



49,241 



1,285,420 
227,388 
241,748 

726,559 



193,031 
150,221 
182,839 
1,474 
17,888 
140,918 
7,408 
21,846 
10,934 

524,829 



333,595 
28,893 
26,094 

118,700 
17,547 

765.541 



598,875 
36,262 

114,198 
16,206 

39,805 

780,840 



450,111 
69,325 

178,580 
82,824 

161,678 



155,399 
6,279 

60,852 

10,794 

562,198 



88,205 

1,123 

127,628 

163,605 

45,192 

23,139 
2,519 

11,772 
3,302 
5,241 

32,206 
5,768 
3,842 

14,124 
3,705 

30,827 



70,756,123 



6,134,287 



465 ,128 



146,354 

202,877 

28,049 

15,427 

29,651 

8,914 

18,179 

5,378 

10,299 

326,065 



19,178,307 



3,142,010 
11,846,339 

1,540,483 
368,332 
446,147 
650,159 
603,575 
241,843 
338,919 

8,916,528 



,192,937 



295,489 

788,933 

20,181 

6,379 

26,891 

11,255 

17,011 

2,714 

24,134 

353,909 



181,110 
144,955 



4,999,411 
3,917,117 



875,905 



126 
23,841 
12,915 



18,216 
9,948 

23,592 
4,767 
6,058 

12,494 
4,419 
1,807 
7,667 

67,555 



115,937 

1,140,614 

435,424 

4.329,254 



105,866 
248,043 



407,803 



21,950 
6,504 
10,537 
22,069 
6,495 

64.572 



1,100,284 

679,729 

1,304,403 

72,489 

181,951 

556,963 

94,619 

106,854 

231,952 

3,728,875 



17,375 
286,475 
103,953 

1,014,696 



308,581 

184,079 

212,428 

6,880 

37,607 

167,592 

13,311 

23,269 

60,949 

782,324 



1,704,777 
325,398 
210,446 

1,244,665 
243,589 

9 ,203 ,920 



381,620 
66,051 
48,335 

240,792 
45,476 



29,720 
15,060 
15,785 
4,007 

179,574 

75,000 



6,407,485 

1,847,658 

709,113 

239,664 

5,959,186 

5,957,299 



13,473 
16,661 
29,777 
15,089 

47,376 



1,789,354 

753,722 

1,578,307 

1,835,916 

2,648,471 



691,887 
153,861 
146,069 
42,489 

344,275 

1,215.937 



39,128 
8,248 

30,211 

15,819 

138,771 



2,404,086 
244,385 

2,249,947 

256,062 

5.760,394 



278,836 
140,104 
444,443 
352,554 

438,761 



14,460 
2,788 

16,327 

17,922 
5,365 
7,910 

13,691 

13,004 
5,572 

12,097 
5,216 
1,039 
1,365 
2,470 
2,170 

17,375 



1,030,670 

41,005 

1,665,926 

699,901 

224,205 

233,172 

309,668 

351,447 

161,088 

179,640 

188,714 

45,720 

41,578 

124,490 

81,748 

381,422 



398,145 
40,616 

271,525 

56,153 

871,557 



68,777 
592 
125,211 
282,241 
48,118 
65,430 
13,774 
28,114 
11,026 
50,417 
46,903 
11,813 
4,622 
26,529 
15,372 
72,618 



259,965 

720,544 

18,619 

5,269 

23,747 

9,300 

16,465 

2,253 

20,756 

345,997 



98,885 
247,108 



361.848 



16,169 

256,338 

89,341 

886.029 



260,397 
167,811 
187,616 
5,999 
34,518 
144,778 
11,946 
22,853 
50,111 

634,377 



320,889 
50,091 
41,914 

184,655 
36,827 

817,917 



535,993 

124,835 

124,736 

32,353 

271,297 

969.675 



226,589 
114,915 
375,937 
252,234 

401,042 



366,567 
34,475 



271,970 
52,251 



758,006 



52,689 

472 

121,261 

249,602 

41,941 

54,306 

11,760 

24,408 

9,515 

42,772 

39,137 

10,219 

4,159 

21,633 

11,361 

62,771 



10.08 



RETAIL TRADE— GENERAL STATISTICS 



Tabic IOC- 2.— MERCHANDISE INVENTORIES— KIND OF BUSINESS, BY SALES SIZE— UNITED STATES: 1948 

Storis, Sales, and Mbrchandisb Invzntoiubs 
[See ten for explanatory material and description of sample data included] 



Kind of business and sales-size 







Merchandise inventories. 


Stores 


Sales, 
entire 
year 


at cost 


End of year 


Beginning 








ofyear 




{Thousand 


Cnujusand 


{TTioiisand 


Plumber) 


dollars) 


dollurs) 


dollars) 


1,770,000 


132,219,592 


14,777,031 


12,891,103 


1,507,556 


45,672,860 


5,759,686 


4,878,876 


194,829 


31,871,978 


3,839,777 


3,351,410 


3*, 478 


13,146,296 


1,351,538 


1,184,988 


22,469 


15,335,241 


1,341,714 


1,174,207 


10,668 


26,193,217 


2,484,316 


2,301,622 


504,415 


31,305,285 


1,590,055 


1,472,967 


4^1,009 


12,803,099 


889,015 


784,630 


47,222 


7,510,669 


367,827 


361,898 


7,587 


2,915,737 


110,272 


107,566 


6,215 


4,260,587 


131,749 


129,743 


2,382 


3,815,193 


91,192 


89,130 


154,285 


4,076,486 


345,758 


313,719 


147,483 


2,875,753 


271,534 


240,748 


6,267 


946,316 


59,647 


59,020 


404 


149,576 


8,270 


8,135 


109 


71,351 


4,492 


4,072 


22 


33,490 


1,765 


i,74« 


223,655 


20,949,998 


1,096,113 


1,023,390 


177,846 


6,793,966 


524,703 


463,178 


32,225 


5,193,638 


281,025 


276,051 


6,147 


2,374,958 


94,378 


91,975 


5,484 


3,766,841 


118,911 


116,846 


1,953 


2,820,595 


77,096 


75,340 


29,463 


1,786,479 


23,671 


22,338 


25,118 


949,805 


12,088 


10,649 


3,856 


601,244 


8,484 


8,361 


368 


(x) 


(x) 


Cx) 


98 


(x) 


(x) 


Cx) 


23 


34,691 


502 


566 


15,753 


400,288 


6,948 


5,759 


15,192 


299,263 


5,078 


4,006 


561 


101,025 


1,870 


1,753 


32,873 


665,415 


35,804 


31,530 


32,294 


511,368 


28,652 


25,344 


450 


(x) 


(x) 


(x) 


66 


(x) 


(x) 


Cx) 


V, 


290,030 


892 


902 


19 


30,384 


2,375 


1,585 


11,732 


1,910,548 


25,282 


23,515 


8,760 


342,616 


7,585 


6,282 


1,896 


318,448 


5,158 


4,789 


395 


151,020 


1,879 


1,763 


681 


1,098,464 


10,660 


10,681 


20,137 


749,532 


19,157 


18,488 


19,076 


574,987 


15,661 


14,674 


1,061 


174,545 


3,496 


3,814 


5,582 


266,656 


3,018 


2,537 


5,013 


155,054 


1,622 


1,046 


502 


(x) 


Cx) 


Cx) 


47 


(x) 


(x) 


Cx) 


16 


9,721 


201 


153 


4 


6,958 


29 


23 


10,935 


499,883 


34,304 


31,691 


10,227 


300,287 


22,042 


18,703 


517 


81,512 


5,296 


5,236 


191 


118,084 


6,966 


7,752 


346,647 


11,079,502 


426,779 


421,656 


332,700 


8,219,271 


340,698 


325,859 


12,102 


1,853,603 


58,712 


63,671 


1,119 


424,183 


11,418 


12,898 


726 


582,445 


15,951 


19,228 


194,110 


6,727,361 


148,342 


143,872 


182,912 


4,292,595 


89,800 


79,225 


11,198 


2,434,766 


58,542 


64,647 


152,537 


4,352,141 


278,437 


277,784 


149,788 


3,926,676 


250,898 


246,634 


2,749 


425,465 


27,539 


31,150 


21,567 


1,232,647 


202,633 


184,416 


19,048 


647,619 


113,896 


102,305 


2,050 


328,924 


52,586 


48,558 


308 


116,024 


16,926 


15,537 


129 


84,970 


12,270 


11,443 


32 


55,110 


6,955 


6,573 


52,554 


15,983,069 


2,214,087 


2,116,404 


37,417 


1,198,239 


323,054 


279,898 


8,606 


1,507,204 


263,741 


241,301 


2,462 


946,658 


131,465 


123,586 


2,026 


1,415,111 


191,226 


183,342 


2,043 


10,915,857 


1,304,601 


1,288,277 



Kind of business and sales-size 



Stores 



(J^umber) 



Cnumsand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(TTiou/and 
doitaTs) 



Beginning 
ofyear 
(Tliousand 
dollars) 



United States, total 

Under $100,000 

ilOO.OOO to i299,999 

isOO.QOO to i499,999 

4500,000 to i999,999 

il,000,000 or more 

Food group, total 

Under $100,000 

tl00,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 

Grocery stores, without ft-esh meat, 

Dnder $100,000 .' 

$100,000 to $299,999 

8300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 

Grocery stores, with fresh meat,.,. 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 _ 

$500,000 to ^999, 999 

$1,000,000 or more 

Meat markets, fish markets 

Under $100,000 

$100,000 to $299,999 

$300,000 to 1499,999 

$500,000 to $999,999 

$1,000,000 or more 

Fruit stores, vegetable markets.... 

Under $100,000 

$100,000 or more 

Candy, nut, confectionery stores... 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 

Dairy products stores, miUc dealers 

Under $100,000 .■ 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 or more 

Bakery products stores, 

Under $100,000 

$100,000 or more 

Eggj poultry dealers, 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 

All other food stores 

Under $100,000 

$100,000 to $299,999 

$300,000 or more 

Eating and drinking places, total,... 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 or more 

Eating places 

Under $100,000 

$100,000 or more 

Drinking places 

Under $100,000 

$100,000 or more 

General stores, total 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 

General merchandise group, total 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 



Qeneral merchandise group — continued 

Department stores 

Under $100,000 

$100,000 to $299,999 

^300, 000 to ±499,999 

$500,000 to $999,999 

$1,000,000 or more 



Dry goods, general merchandise stores. 
Under $100,000. 



$100,000 to $299,999. 
$300,000 to $499,999. 
$500,000 to $999,999. 
$1,000,000 or more... 



Variety stores 

Under $100,000 

$100,000 to $299,999. 

! 300, 000 to $499,999. 
500,0gp to $999,999. 
:»(160,000 or more... 



Apparel group, total. 



Under $100,000 

11100,000 to $299,999. 
: 1300,000 to $499,999. 
: 1500,000 to $999,999. 
$1,000,000 or more... 



Men's, boys' clothing, furnishing stores. 

Under $100,000 

11100,000 to $299,999 

1 1300,000 to $499,999 

11500,000 to $999,999 

111,000,000 or more 



Family clothing stores. 

Under $100,000 

$100,000 to $299,999, 
$300,000 to $499,999, 
$500,000 or more 



Women's ready-to-wear.. 

Under $100,000 

$100,000 to $299,999. 
$300,000 to $499,999. 
$500,000 or more 



Millinery stores 

Under $100,000 

$100,000 to $299,999. 
$300,000 to $499,999. 



Other apparel acces., specialty stores. 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 

Shoe stores 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 

Custom tailors 

Under $100,000 

$100,000 or more 



Furriers, fur shops 

Under $100,000 

$100,000 to $299,999... 
$300,000 to $499,999... 
$500,000 to $999,999... 
$1,000,000 or more 

All other apparel stores. 

Under $100,000 

$100,000 to $299,999... 
$300,000 or more 



Furniture, lumlshings, appliance group, 
total ,. 



Under $100,000 

$100,000 to $299,999. 
$300,000 to $499,999. 
$500,000 to $999,999. 
$1,000,000 or more... 



Furniture stores 

Under $100,000 

$100,000 to $299,999. 
$300,000 to $499,999. 
$500,000 to $999,999. 
$1,000,000 or more... 



2,580 

3 

91 

259 

679 

1,548 

29,753 

22,984 

4,777 

1,119 

691 

182 

20,221 

14,430 

3,738 

1,084 

656 

313 

115,677 



93,326 

17,721 

2,411 

1,418 

801 

23,732 

17,989 

4,662 

594 

353 

134 

12,534 

9,198 

2,476 

371 

489 

30,673 

23,547 

5,288 

895 

943 

5,718 

5,654 

61 

3 

7,748 

7,016 

657 

49 

22 

4 

19,554 

15,466 

3,515 

375 

162 

36 

4,948 

4,667 

281 



10,644,747 

264 

22,666 

103,228 

503,897 

10,014,692 

2,821,004 
720,606 
823,180 
429,696 
462,433 
385,089 

2,517,318 
477,369 
661,358 
413,734 
448,781 
516,076 

9,905,494 



3,261,194 

2,823,335 

916,134 

961,330 

1,943,501 

2,175,340 
735,023 
740,449 
224,201 
236,291 
239,376 

1,818,017 
389,456 
396,378 
142,553 
889,630 

3,332,246 
844,351 
862,548 
343,281 

1,282,066 

107,803 

98,092 

8,726 

985 

338,324 
200,219 

Cx) 

Cx) 

14,783 
5,784 

1,472,343 
620,923 
549,535 

Cx) 

Cx) 

54,929 

146,085 
91,090 
54,995 



1,317,826 

120 

4,683 

18,319 

83,354 

1,211,350 

536,257 
207,480 
160,755 
62,951 
59,386 
45,685 

360,004 
115,454 
98,303 
50,195 
48,486 
47,566 

1,818,253 



848,205 
502,149 
129,628 
123,344 
214,927 

531,784 
235,726 
175,384 
43,367 
39,785 
37,522 

345,266 
121,798 
87,690 
23,674 
112,104 

413,787 
164,282 
103,095 
33,966 
112,444 

8,498 ! 

8,011 ' 

459 

28 

57,402 

43,103 

Cx) 

Cx) 
941 
451 

320,401 
185,215 

94,176 

Cx) 

Cx) 
7,765 

21,458 
12,913 
8,545 



1,301,589 

33 

3,627 

17,343 

82,030 

1,198,556 

483,726 
180,661 
146,860 
59,193 
54,117 
42,895 

331,089 
99,204 
90,814 
47,050 
47,195 
46,826 



721,405 
457,662 
121,507 
111,000 
201,014 

453,428 
194,934 
153,705 
39,250 
32,543 
32,996 

318,032 

109,359 

82,650 

23,315 

102,708 

370,455 
137,636 
93,205 
31,487 
108,127 

7,473 

7,052 

394 

27 

52,406 
38,875 
Cx) 
Cx) 
1,085 
384 

285,696 
157,811 

88,543 

Cx) 

Cx) 
7,977 

19,354 
11,666 
7,688 



2,355 


219,306 


45,896 


44,699 


1,827 


67,316 


16,866 


15,922 


406 


67,256 


13,573 


13,240 


65 


Cx) 


Cx) 


Cx) 


41 


Cx) 


Cx) 


Cx) 


16 


33,188 


5,238 


5,380 


8,415 


296,030 


73,761 


61,045 


7,962 


214,724 


60,291 


48,150 


408 


60,283 


10,800 


10,209 


45 


21,023 


2,670 


2,686 


85,570 


6,998,874 


1,389,254 


1,159,206 


67,143 


2,298,081 


550,582 


437,585 


14,609 


2,387,130 


456,534 


379,282 


2,326 


880,907 


148,889 


130,523 


1,121 


748,777 


120,184 


108,183 


371 


683,979 


113,065 


103,633 


29,027 


3,472,061 


752,916 


654,434 


19,447 


836,281 1 


215,074 


173,337 


7,425 


1,238,776 


269,148 


235,553 


1,259 


476,648 


96,347 


85,385 


646 


434,221 


83,204 


76,327 


250 


486,135 


89,143 


83,882 



See footnotes at end of table. 



INVENTORIES 



10.09 



Table lOC-2.— MERCHANDISE INVENTORIES— KIND OF BUSINESS, BY SALES SIZE ■ 

Stores, Saus, and Merchandise Inventories 

[See text for explanatory nuterial and description of sample data included] 



-UNITED STATES: 1948— Continued' 



Kind of business and sales-sijc 



Stores 



(dumber) 



Sales, 
entire 



(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 
dollars) 



Beginning 
of year 

{Thousand 
dollars) 



Kind of business and sales-size 



(Humbn) 



Sales, 
entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
doltars) 



Beginning 
of year 
(Thousand 
dollars) 



Furniture, furnishings, appliance 
group — Continued 

Floor covering, drapery stores.. 

Under $100,000 

ilOO,000 to i299,999 

$300,000 to i499,999 

$500,000 to $999,999 

$1,000,000 or more 



Other home furnishing stores. 

Under $100,000 

:il00,000 to $299,999 

;i300,000 to i^99,999 

: 1500,000 to $999,999 

111,000,000 or more 

Household appliance stores... 

Under $100,000 

$100,000 to *299,999 

$300,000 to $499,999 

$500,000 or more 

Radio stores 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 or more 



Automotive group, total. 



Under $100,000 

$100,000 to $299,999. 
$300,000 to ±499,999. 
$500,000 to $999,999. 
$1,000,000 or more... 



Motor vehicle (new and used) dealers. 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 



Motor vehicle (used) dealers. 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 or more 



Tire, battery, accessory dealers. 

Under $100,000 

$100,000 to *299,999.. 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 



All other automotive dealers. 

Under $100,000 

$100,000 to $299,999 

$300,000 to i499,999 

$500,000 to $999,999 

$1,000,000 or more 



Gasoline service stations, total. 



Under $100,000 

$100,000 to $299,999. 
$300,000 to $499,999. 
$500,000 or more 



l,umber, building, hardware group, total. 



Under $100,000 

11100,000 to ±299,999, 
: 1300,000 to $499,999. 
11500,000 to $999,999. 
i 11,000,000 or more... 



Cumber yards, building materials 

dealers 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 



Plumbing, paint, electrical stores. 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 

Hardware stores 

Under $100,000 

: 1100,000 to ±299,999 

: 1300,000 to $499,999 

1 1500,000 to $999,999 

111,000,000 or more 



7,750 

6,512 

1,015 

140 

70 

13 

11,877 

11,033 

592 

157 

68 

27 

29,699 

23,764 

4,948 

665 

322 

7,217 

6,387 

629 

105 

96 

86,200 



512,030 
224,517 

(x) 

(x) 

45,795 

23,067 

448,946 
194,496 

(x) 

(x) 

46,130 

(x) 

2,168,041 
878,659 
778,098 
250,853 
260,431 

397,796 
164,128 
102,938 
40,083 
90,647 

20,173,783 



104,234 
51,139 
(x) 
(x) 
8,092 
5,338 

78,944 
50,970 
Cx) 
(x) 

3,769 
(x) 

385,861 
196,996 
126,605 
33,202 
29,058 

67,299 

36,403 

16,857 

5,043 

8,996 

2,078,794 



40,711 

27,443 

8,645 

6,105 

3,296 

44,036 
9,993 

18,766 
6,926 
5,290 
3,061 

16,875 
10,195 
4,663 
1,165 
852 

20,625 

16,776 

3,301 

424 

112 

12 

4,664 

3,747 

713 

130 

59 

15 



188,240 



1,788,425 
4,950,757 
3,310,288 
4,200,230 
5,924,083 

15,985,386 
620,610 
3,484,666 
2,662,610 
3,661,510 
5,556,490 

2,458,681 
443,980 
810,505 
440,233 
763,963 

1,380,578 

602,773 

535,565 

(x) 

(x) 

14,801 

348,638 
121,062 
120,021 

(x) 

38,835 

(x) 

6,757,047 



325,857 
597,061 
336,271 
372,776 
446,829 

1,541,389 
97,191 
411,612 
274,891 
332,312 
425,383 

201,546 
59,487 
69,913 
30,634 
41,512 

275,571 
140,759 

98,100 

(x) 

(x) 
2,664 

60,288 
28,420 
17,436 
(x) 

5,269 
(x) 

388,825 



180,122 

7,696 

315 

107 

98,932 



5,455,976 

1,109,222 

115,569 

76,280 

11,292,563 



319,227 
57,594 
6,996 
5,008 

2,164,998 



66,587 
25,086 
4,395 
2,170 
694 



26,102 
11,260 
10,348 
2,546 
1,495 
453 

20,542 
17,732 
2,430 

;i82 

81 

17 

34,675 

28,740 

4,902 

577 

309 

147 



2,844,454 
4,215,506 
1,659,567 
1,463,146 
1,109,890 



5,143,768 
533,852 

1,828,999 
972 ,386 

1,008,638 
749,893 

1,131,860 
624,477 
377,952 

(x) 

(x) 

22,989 

2,541,192 

1,122,341 

768,429 

(x) 

(x) 

222,800 



751,438 
800,981 
259,434 
206,757 
146,358 



831,270 
144,021 
322,414 
137,993 
134,790 
92,052 

218,102 
134,931 

59,006 

(x) 

(x) 
2,695 

645,317 
352,137 
181,966 

(x) 

(x) 

31,982 



78,984 

37,525 

(x) 

(x) 
6,890 
3,936 

68,008 
43,976 
(x) 
(x) 
3,307 
(x) 
303,356 
154,128 
94,356 
29,368 
25,504 

54,374 
28,619 
13,948 
4,447 
7,360 

1,583,458 



251,790 
455,552 
261,105 
279,671 
335,340 

1,134,863 
61,407 
299,721 
207,488 
250,520 
315,732 

161,097 
47,362 
55,950 
25,810 
31,975 

238,934 
122,043 

84,874 

(x) 

(x) 
1,646 

48,559 
20,978 
15,007 
(x) 
3,813 
(x) 

311,102 



248,726 
52,391 
5,762 
3,723 

1,750,515 



584,305 
650,781 
216,162 
172,994 
126,273 



676,700 
114,067 
256,154 
117,202 
111,725 
77,552 

184,240 
107,900 

54,514 

Cx) 

(x) 
2,750 

554,517 
286,024 
166,294 

(x) 

(x) 

30,702 



Lumber, building, hardware group — Con. 



Farm equipment dealers. 

Under $100,000 

11100,000 to $299,999. 
11300,000 to $499,999. 
!1500,000 to $999,999. 
111,000,000 or more... 



Drug and proprietary stores, total. 



Under $100,000 

$100,000 to ±299,999. 
$300,000 to $499,999. 
$500,000 to $999,999. 
$1,000,000 or more... 



Drug stores 

Under $100,000 

$100,000 to $299,999. 
$300,000 to $499,999. 
$500,000 or more 



Proprietary stores 

Under $100,000 

$100,000 to ±299,999. 
$300,000 to $499,999. 
$500,000 or more 



Liquor stores, total... 

Under $100,000 

$100,000 to ±299,999. 
$300,000 to $499,999. 
$500,000 to $999,999. 
$1,000,000 or more... 



Second-hand stores, total. 

Under $100,000 

$100,000 to $299,999 

±300,000 to $499,999 

$500,000 or more 



Other retail stores, total. 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 or more 



Fuel, fuel oil dealers. 

Under $100,000 

$100,000 to $299,999. 
±300,000 to $499,999. 
$500,000 or more 



Ice dealers 

Under $100,000 

$100,000 to $299,999. 
±300,000 to ±499,999. 
$500,000 to $999,989. 
$1,000,000 or more... 



Feed, farm, garden supply stores. 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 



Jewelry stores 

Under $100,000 

$100,000 to ±299,999. 
$300,000 to $499,999. 
±500,000 to $999,999. 
$1,000,000 of more... 



Book, stationery stores. 

Under $100,000 

±100,000 to $299,999.. 
! 1300,000 to $499,999.. 
11500,000 to $999,999.. 
111,000,000 or more.... 



Sporting goods stores, bicycle stores. 

Under $100,000 

±100,000 to $299,999 

$300,000 or more 



Florists 

Under $100,000 

±100,000 to $299,999. 
$300,000 to $499,999. 
$500,000 to $999,999, 
$1,000,000 or more... 



17,613 

3,855 

7,406 

990 

285 

77 

55,730 



45,190 

9,273 

912 

350 

55 

46,938 

36,707 

3,940 

893 

398 

8,842 

8,483 

333 

19 
7 

33,424 



27,564 

4,718 

565 

421 

156 

16,958 

16,550 
350 
40 
18 

164,036 



140,139 
17,953 
3,443 
2,501 

19,480 

13,483 

4,444 

345 

703 

3,173 

2,990 

149 

20 

10 

4 

21,561 

12,721 

6,135 

1,590 

828 

237 

21,271 

18,531 

2,127 

324 

177 
62 

6,940 
5,672 
941 
189 
94 
44 

3,594 

7,963 

514 

117 

14,748 

14,332 

385 

21 

10 



2,425,743 
513,784 

1,240,126 
368,643 
188,982 
114,208 

4,037,430 



470,309 
120,299 
237,595 
62,799 
29,987 
19,629 

615,905 



1,959,243 

1,426,523 

342,075 

227,197 

82,442 

3,737,399 

1,721,957 

1,377,344 

335,105 

303,493 

299,581 

237,286 

49,179 

6,970 

6,146 

2,617,593 



351,895 

195,800 

36,616 

23,292 

8,302 

563,351 

310,950 

190,226 

36,045 

31,130 

47,554 

40,945 

5,574 

571 

464 

330,078 



1,167,400 
727,426 
217,072 
291,136 
214,559 

315,293 

232,741 
54,897 
14,592 
13,063 

10,520,962 



181,406 
92,337 
21,704 
21,072 
13,059 

67,081 

53,510 
9,708 
2,380 
1,483 

1,490,289 



3,797,318 
2,976,532 
1,237,490 
2,459,572 

2,378,578 
561,997 
744,449 
320,414 
751,718 

90,302 
47,029 
24,672 
7,711 
6,159 
4,731 

3,159,617 
542,025 

1,070,235 
604,451 
554,413 
338,493 

1,258,928 
562,381 
342,757 

(x) 
120,835 

(x) 

559,703 
170,112 
153,055 

(x) 

(x) 
102,856 

344,979 
189,460 
80,792 
74,727 

. 330,468 

• 303,370 

57,501 

7,327 

6,270 



710,903 
384,247 
139,539 
255,600 

178,702 
42,304 
55,117 
23,535 
57,246 

2,038 
715 
828 
237 
224 
34 

256,034 
50,519 
90,296 
45,270 
40,114 
29,835 

460,643 
250,714 
111,340 

(x) 

29,622 

(x) 

95,653 
40,079 
26,332 
(x) 
(x) 
8,970 

91,152 
55,495 
19,897 
15,760 

16,450 

14,274 

1,716 

247 

213 



335,058 
76, 3W 

173,819 
46,975 
22,631 
15,269 

562,720 



313,260 
183,438 
34,933 
22,816 

8,273 

521,966 

278,641 

173,290 

34,330 

30,655 

40,754 

34,619 

5,148 

553 

434 

332,822 



174,876 
98,096 
24,051 
22,544 
13,255 

63,045 

50,194 
9,085 
2,283 
1,483 

1,320,204 



604,043 
349,195 
129,075 
237,891 

140,894 
31,771 
44,103 
19,026 
45,994 

1,595 
595 
652 
188 
123 
32 

248,889 
45,302 
36,068 
45,029 
40,815 
31,675 

413,207 
219,700 
102,367 

(x) 

27,779 

(x) 

37,133 
34,349 
24,633 
(x) 
(x) 
9,332 

77,445 
45,410 
13,008 
14,027 

14,279 

12,244 

1,595 

254 

136 



See footnotes at end of table. 



10.10 



RETAIL TRADE-GENERAL STATISTICS 



Tabic IOC- 2.— MERCHANDISE INVENTORIES— KIND OF BUSINESS, BY SALES SIZE— UNITED STATES- 1948— Continued 

Storss, Salbs, and Mbrchandbb Invbntoribs 
(See text for explanatory material and description of sample data included] 



Kind of business and sales-siK 



CNumber) 



Sales, 
entire 



{Thousand 
dnlhiTs) 



Merchandise inventories, 
at cost 



End of year 

{Thotxsand 
dollars) 



Beginning 
of year 

{Thousand 
dollars) 



Kind of business and sales-size 



(dumber) 



Sales, 
entire 
year 

{Thousand 
dollgTi) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 
dollars) 



Beginning 
of year 
{Thousand 
dollars) 



Other retail stores — Continued 

Cigar stores and stands 

Under $100,000 

♦100,000 to $299, 999 

4300,000 to $499,999 

1500,00 to $999, 999 

$1,000,000 or more 

News dealers, newsstands 

Dnder $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 

Gift, novelty, souvenir stores 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 or more 

Music stores 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

$1,000,000 or more 

Luggage, leather goods stores. 

Under $100,000 

$100,000 to t299,999 

$300,000 to ?499,999 

$500,000 or more 

X Withheld to avoid disclosure. 



14,522 

13,675 

670 

83 

54 

40 

6,807 

6,458 

326 

15 

7 

1 

12,510 

12,376 

116 

11 

7 

6,125 

5,351 

616 

79 

56 

23 

1,194 

1,017 

156 

15 

6 



542,151 
292,760 
101,783 
32,261 
37,377 
77,970 

228,184 
165,612 

50,046 

M 
5,335 

(x) 

209,410 

179,968 

17,409 

4,092 

7,941 

347,352 
144,121 

(x) 

(x) 

38,535 

36,798 

68,290 
31,438 
25,051 
5.456 
6,345 



40,722 
25,864 
7,5U 
2,109 
2,087 
3,148 

14,452 
10,848 
3,009 
(x) 

293 
(x) 

57,171 

52,266 

3,696 

520 

689 

83,213 

39,705 

(x) 

(x) 
7,781 
9,003 

17,614 

9,516 

5,949 

904 

1,245 



36,180 
22,786 
6,865 
1,867 
1,759 
2,903 

12,817 
9,412 
2,832 

(x) 
281 

(x) 

48,013 

43,541 

3,S50 

526 

696 

71,343 

32,857 

(x) 

(x) 
6,805 
8,138 

15,987 

7,925 

5,788 

935 

1,339 



Other retail stores — Continued 

Optical goods stores 

Under $100,000 

$100,000 to $299,999 

$300,000 or more 

Camera, photographic supply stores.. 

Under $100,000 

$100,000 to $299,999. . .' 

$300,000 to ?499,999 

$500,000 to $999,999. 

$1,000,000 or more 

Office, store machine and equipment 

dealers 

Under $100,000 

$100,000 to $299,999 

$300,000 to $499,999 

$500,000 to $999,999 

?1,000,000 or more 

All other retail stores 

Under $100,000 

! 100,000 to i299,999 
300,000 to 1499,999 
500,000 to ^999,999 

$1,000,000 or more. 



1,890 

1,749 

125 

16 

3,031 

2,535 

418 

46 

25 

7 



2,319 
2,135 

165 
12 
6 



19,871 
19,151 
616 
62 
30 
12 



74,290 

49,217 

18,862 

6,211 

207,083 
87,221 
67,838 
(x) 
(x) 
18,461 



104,711 
67,331 
(x) 
4,477 
(x) 
(x) 

566,916 
397,776 

(x) 

(x) 

21,163 

27,795 



8,646 

5,319 

2,476 

851 

43,443 
22,144 
12,592 
(x) 
(x) 
2,954 



19,812 
12,823 
(x) 

866 
(x) 
(x) 

104,539 
77,818 
Cx) 
(x) 
2,128 
3,710 



8,001 

4,767 

2,473 

761 



35,757 
16,522 
11,144 
(x) 
(x) 
2,327 



15,066 
9,046 
(x) 

892 
(x) 
(x) 

93,598 

67,816 

(x) 

(x) 
2,030 
3,828 



INVENTORIES 



10.11 



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10.12 



RETAIL TRADE-GENERAL STATISTICS 



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INVENTORIES 



10.13 



Table lOE.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS, AND SMALI^STORE SAMPLE- 
UNITED STATES AND GEOGRAPHIC DIVISIONS, BY KIND OF BUSINESS: 1948 

UNITED STATES 
Stores, Sales, and Merchandise Inventories 

[See text for explanatory material and description of sample data included] 



Kind of business 



Large stores and multiunit stores 



Stores 



(J^umher) 



Sales, entire year 
(Xhotisand dollars) 



Merchandise inventones,at cost 



End of year 
(Thousand dollars) 



Beginning 
of year 

{Thousand dollars) 



Sample of small single-unit stores 



Stores 



Q^umber) 



Sales, entire year 



(Thousand dollars) 



Merchandise inventories,at cost 



End of year 
(Thousand dollars) 



Beginning 
of year 

{Thousand dollarsj 



Total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut. confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores '; 

Custom tailors 

Furriers, fur shops 

All other apparel stores" 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores . 

Radio stores 

Automotive group ■. . . 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers ■ 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores . 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers , 
All other retail stores 

Se^ footnotes at end of table. 



92,268,922 



9,882,231 



8,760,153 



137,850 



3,995,067 



89,615 



12,755 
5A,385 
6,293 
1,«.3 
';,603 
4,862 
3,207 
1,022 
1,045 

32,557 



23,700 
8,857 



3,297 

21,874 



2,580 
9,693 
9,601 



39,737 
8,282 
5,024 

11,603 
1,508 
2,138 
8,794 
4^8 
705 
1,35 

28,160 



12,607 
1,770 
1,327 

11,219 
1,237 

51,430 



35,946 
7,705 
6,535 
1,244 

19,410 

41,242 



18,432 
4,712 
8,035 

10,063 

14,470 



13,418 
" 1,052 



38,566 



503 

10,621 

4,771 

1,810 

1,104 

1,478 

2,412 

1,597 

950 

1,375 

274 

610 

811 

299 

2,671 



19,674,595 



770 



1,508,866 

14,609,408 

928,909 

129,628 

267,745 

1,641,418 
247,292 
129,526 
211,803 

3,510,392 



2,873,021 
637,371 



625,917 
15,112,919 



95 

609 
13 
2 
11 



1 
13 

_109 
67 
41 



10,544,747 
2,238,674 
2,229,498 

7,495,704 



1,570,850 

1,516,987 

2,708,335 

49,933 

204,044 

1,110,733 

52,935 

159,416 

112,470 

5,109,264 



1,317 
367 
286 

1,152 



333 
245 
285 

2 
24 
197 

9 



2,783, 
310,500 
270,415 

1,496,241 
248,225 

18,707,323 



577 
58 
35 

233 
34 

1,819 



15,484,076 

2,063,861 

916,448 

242,938 

1,803,087 

8,935,943 



4,772,288 

547,570 

1,525,022 

1,989,963 

2,291,090 



1,462 
150 
170 
35 

97 

1,552 



749 
105 
326 
370 



2,202,549 
88,541 

1,622,743 

108,463 

7,271,482 



292 

11 



176 
18 



1,878 

52,302 
2,710,857 
780,238 
412,483 
170,669 
102,448 
306,811 
99,074 
47,850 
223,272 
40,700 
42,020 
133,143 
41,941 
228,586 



215 
244 
60 
40 

3 
19 

5 
10 
48 

9 

4 
24 



075 



755,087 



96,519 
594,360 

13,268 
2,269 

10,230 

18,555 
4,438 
1,587 

13,761 

119,906 



41,480 



73,152 
46,744- 



1,905,914 



14,153 

16,927 

2,317 

1,431 

2,827 

687 

1,593 

456 

989 

31,409 



1,163,069 
256,762 
634,059 
85,757 
27,066 
39,757 
26,913 
50,224 
13,713 
28,808 

756,911 



1,301,589 
335,405 
268,919 

1, 047,798 



17,041 
14,368 



1,827 
3,068 



385,434 
371,477 



289,958 

229,572 

262,885 

2,263 

22,286 

182,636 

8,414 

30,679 

19,105 

809,536 



2,006 
1,052 

7,594 



1,545 
751 

1,907 
421 
551 

1,076 
450 
165 
718 

5,741 



58,233 
28,782 

240,979 



60,449 

30,103 

52,391 

5,787 

13,428 

36,161 

8,315 

5,989 

18,356 

188,961 



513,344 
45,384 
30,948 

191,276 
28,584 

1,393,178 



1,5<.2 
598 

1,848 

598 

3,477 



1,086,448 
125,867 
150,514 
30,349 

82,852 

1,269,565 



616,820 
92,220 
289,497 
271,028 

285,220 



309 

917 

1,409 

142 

16,883 

5,759 



275,116 
10,104 



19,055 
798,564 



767 
1,583 
2,664 

755 

4,131 



113,554 

1,145 

212,559 

223,597 

57,023 

35,985 
3,129 

17,900 
4,877 
9,093 

42,913 
8,017 
4,551 

21,987 
5,825 

35,188 



3,352 

779 



2,385 
1,538 



12,547 



1,220 
257 

1,094 

1,650 
513 
749 

1,327 

1,211 
521 

1,156 
475 
92 
128 
222 
202 

1,720 



58,818 

20,153 
17,853 
57,180 
14,957 



14 >-,646 

0,181 

Jj,482 

45,413 

10,570 



495,396 



235,662 



37,148 
53,419 
101,517 
43,578 

174,639 



153,535 
21,104 

99,485 

20,683 

324,948 



49,959 

3,800 

44,876 

47,869 

U,722 

17,431 

27,802 

23,534 

12,911 

16,156 

12,408 

2,759 

3,227 

7,394 

6,277 

33,823 



489,480 



81,998 



25,035 

48,677 

1,042 

446 

2,419 

600 

1,505 

152 

2,122 

31,705 



8,049 
23,550 



16,905 
7,316 

56,548 



19,787 
9,846 

12,874 

598 

3,278 

12,252 
1,201 
1,472 
5,240 

44,997 



17,559 
4,563 
4,349 

15,266 
3,255 

25,969 



7,873 
5,112 
10,495 
2,488 

'29,085 

51,295 



8,165 
11,298 
31,839 

9,994 

31,209 



27,563 

3,646 



4,859 
61,450 



3,564 

50 

4,023 

21,572 

3,541 

5,089 

1,298 

2,109 

930 

4,703 

3,432 

832 

377 

1,869 

1,170 

6,791 



413,095 



71,788 



21,720 

42,903 

907 

349 

2,130 

436 

1,405 

95 

1,793 

'30,175 



7,071 
23,104 



9,528 
21,049 



14,832 
5,217 

5 5.479 



16,347 
3,846 

10,757 

521 

3,012 

10,306 
1,094 
1,402 
4,194 

34,967 



14,114 
3,360 
3,705 

11,208 
2,579 

19,028 



4,842 
3,523 
8,842 

1,821 

22,825 

48,095 



5,988 
9,202 
26,502 
5,403 

27,750 



24,685 
3,055 

14,749 

4,398 

52,164 



2,733 
45 
3,622 
18,961 
3,011 
4,145 
1,115 
1,828 

794 
3,892 
2,843 

797 

335 
1,377 

824 
5,841 



10.14 



RETAIL TRADE— GENERAL STATISTICS 



Table lOE.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS, AND SMALL-STORE SAMPLE- 
UNITED STATES AND GEOGRAPHIC DIVISIONS, BY KIND OF BUSINESS: 1948— Continued 

NEW ENGLAND 



Stobbs, Salbs, and Merchandise Inventories 
(See text for explanatory material and description of sample data included] 



Kind of business 



Large stores and multiunit stores 



Stores 



(J^{umbcr) 



Sales, entire year 
(thousand dollars) 



Merchandise inventories,at cost 



End of year 
{Thousand dolldrs) 



Beginning 
of year 

(Thousand dolldrs) 



Sample of small single'Unit stores 



Stores 



Q^mber) 



Sales, entire year 
(Thousand dollars) 



Merchandise inventories,at cost 



End of year 
(Thousand dollars) 



Beginning 
of year 

(Thousand dollars) 



Total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, 6sh markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

j^ other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores .... 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, fumisliings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home njmishing stores 

Household appliance stores . 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores , 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine ana equipment dealers. 
All other retail stores 

Spe footnotes at end of table. 



25, 6U 



6,73* 



1,522 
3,359 
280 
115 
<W3 
581 
305 
43 



1,819 
294 



50 
1,300 



186 
434 
680 



588 
330 
878 
128 
202 
655 
17 
83 
106 

1,809 



783 

130 

97 

711 



3,012 



2,227 

395 

333 

57 

777 

1,655 



736 
298 
468 
153 



759 
115 



3,360 



1,059 

19 

750 

299 

182 

83 

95 

225 

142 

106 

75 

22 

28 

53 

16 

206 



5,931,011 



592.163 



540,159 



8,962 



276,455 



1,545,342 



176,448 
1,015,435 
50,579 
9,727 
19,262 
236,271 
23,001 
4,453 
10,166 

238,206 



213,847 
24,359 

6,367 

836,698 



582,681 

81,705 
172,312 

530,205 



101,521 

88,559 

212,102 

3,114 

14,650 

77,862 

2,798 

15,139 

14,460 

310,489 



162,718 
20,748 
15,483 

100,371 
11,169 

1,036,592 



882,409 

97,036 

47,670 

9,477 

68,919 

445,393 



265,613 
42,432 

103,321 
34,027 

112,556 



104,478 
8,078 



123,057 

7,957 

669,230 



287,486 

1,833 

193,914 

52,844 

28,938 

10,229 

5,308 

32,608 

11,161 

4,021 

10,112 

3,232 

2,390 

7,250 

2,177 

15,727 



55,365 



55,840 



10,250 

39,838 

798 

269 

833 

2,215 

324 

16 

822 

6,746 



5,205 
1,541 



11,063 

39,660 

788 

235 

835 

2,145 

334 

14 

766 

7,147 



2,640 
TO2" 
1,128 
171 
106 
153 
52 
156 
26 
46 

1,752 



84,629 



68,913 
14,089 
23,191 

81,955 



5,432 
1,715 



106,075 



1,123 
629 



51 

200 



16,499 
48,263 
5,899 
2,728 
2,854 
2,251 
4,104 
(M 
1,418 

47,213 



69,709 
13,140 
23,226 

76,902 



29,527 
17,686 

4,814 



135 
65 



3,188 
1,626 

19,817 



23,496 
13,948 
21,794 
226 
1,840 
14,974 
478 
2,761 
2,438 

60,882 



20,796 

13,308 

21,162 

250 

1,678 

14,277 

408 

2,694 

2,329 

55.589 



143 
52 

146 
41 
AA 

106 
39 
16 
56 



4,889 
2,010 
4,973 

(M 
1,131 
3,245 

(^) 

579 
1,653 

12,367 



37,561 
4,135 
1,917 

15 774 
1,495 

107,452 



89,339 
7,350 
9,249 
1,514 

3,725 

72,235 



35,090 
3,302 
1,843 

14,191 
1,163 

76,514 



104 
57 

126 
97 
50 



39,433 
6,687 

19,558 
6,557 

15^358 



61,289 
6,263 
7,483 
1,479 

3,286 

64,047 



41 
66 
61 
22 

1,079 



4,556 
1,692 
1,468 
3,605 
1,046 

7,509 



2,363 

2,496 

2,268 

382 

32,386 

11,368 



34,689 
6,319 

18,003 
5,036 

14,700 



34 

94 

14^ 

15 



14,096 
1,262 



16,724 



816 



63,852 



13,597 

1,103 



18,392 



795 
60,084 



18,700 

25 

13,605 

14,090 

4,510 

2,526 

120 

1,836 

685. 

807 

2,236 

765 

324 

1,122 

435 

2,066 



16,592 

21 

13,699 

13,142 

4,352 

2,328 

107 

1,682 

670 

665 

2,292 

724 

320 

1,123 

387 

1,980 



249 
75 



1,010 



1,711 

3,315 

5,613 

729 

15,233 



156 
30 
28 

101 
41 
53 
98 

104 
58 

124 
35 
6 
12 
21 
14 

129 



12,894 

10,817 
1,212 
27,199 



6,382 

(M 

1,606 
3,237 
1,198 
1,011 
2,142 
2,476 
2,190 
1,561 
1,161 

(M 
(M 
(M . 
2,274 



5,092 



1,364 
3,253 
69 
57 
167 
14 



(') 



1,836 



677 
1,159 



(^) 
1,279 



904 
375 



5,046 



1,545 
618 
957 
(M 

219 
959 

(M 

175 
445 

2,879 



1,194 
417 
317 
741 
210 

1,427 



408 
376 
502 
141 



2,658 



301 

644 

1,573 

140 

2,242 



1,909 
(') 

1,781 

204 

4,092 



290 

(M 

94 
1,381 
240 
311 
58 
188 
112 
315 
350 

(M 

(M 

(^) 

(M 

450 



4,606 



1,240 

2,926 

68 

57 

148 

13 



(M 



1.805 



650 
1,155 

1.161 



846 

315 

4.458 



1,308 
530 
876 
(M 

221 
859 

145 
378 . 

2,320 



1,060 
297 
253 
575 
135 

1,075 



231 
288 
421 
135 

1,495 

2,156 



203 

506 

1,366 

81 

2.011 



1,698 
(M 

1,730 

185 

3.747 



270 

87 

1,311 

219 

265 

64 
160 

91 
236 
329 

(M 
(M 
(M 

434 



INVENTORIES 



10.15 



Table lOE.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS, AND SMALL-STORE SAMPLED 
UNITED STATES AND GEOGRAPHIC DIVISIONS, BY KIND OF BUSINESS: 1948— Continued 

MIDDLE ATLANTIC 

Stores, Sales, and Merchandise Inventories 

[See text for explanatory material and description of sample data included] 



Kind of business 



Large stores and multiunit stores 



Stores 



CHumbcr) 



Sales, entire year 
{Thousand dollars) 



Merchandise inventories,at cost 



End of year 
(Thousand dollars] 



Beginning 
of year 

{Thousand dollars) 



Sample of small single^unit stores 



Stores 



Q^umber) 



Sales, entire year 
(Thousand dollars) 



Merchandise inventones.at cost 



End of year 
(Thousand dollars) 



Beginning 
of year 

(Thousand dollarsj 



Total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets . ■. 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general mercliandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores .... 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home tanishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire,, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumberyards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

J.lquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Horists 

Cigar stores and stands 

News dealers, newsstands ". 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 



21,887 



^,620 

8,517 

2,867 

673 

1,760 

1,408 

1,204 

448 

390 

7,199 



5,464 
1,735 



366 
1,109 
1,647 

10,235 



2,234 
725 

2,673 
382 
994 

2,439 
113 
224 
451 

5,835 



2,257 
587 
374 

2,029 
588 

8,315 



5,785 

1,244 

1,122 

164 

2,690 

4,769 



2,172 
923 

1,082 
592 

2,548 



2,350 
198 

1,766 

315 

9,422 

2,089 

61 

1,825 

997 

460 

237 

347 

717 

927 

242 

260 

87 

180 

200 

41 

752 



19,403,793 



1,897,790 



1,727,176 



31,741 



916,071 



4,670,761 



534,740 
2,803,643 

410,735 
60,147 
94,846 

537,028 

115,253 
49,539 
64,830 

1,042,447 



151,954 



149,461 



10,185 



894,948 

147,499 

61,912 
3,047,750 



31,649 

98,672 

4,542 

913 

4,484 

6,003 

1,698 

228 

3,765 

30,413 



2,305,927 
219,046 
522,777 

2,164,464 



21,187 
9,226 

9,818 

361,356 



32,244 

96,890 

4,494 

835 

3,138 

5,759 

1,774 

246 

4,081 

33,433 



262,518 
39,512 
59,326 

314,275 



23,394 
10,039 



5,247 
356,544 



3,041 

2,360 

1,150 

745 

1,34" 

286 

542 

190 

531 

7,073 



295,994 



74,567 
91,938 
43,856 
14,743 
19,330 
11,821 
17,092 
5,211 
17,436 

195,211 



3,285 
3,788 



465,710 

421,474 

717,671 

13,381 

96,159 

323,696 

17,929 

57,838 

50,606 



94,980 
53,528 
70,645 
868 
12,222 
57,811 

2,522 
12,642 

9,057 

212,774 



259,966 
37,676 
58,902 

295,137 



85,530 
109,581 



4,939 
16,115 



527 
176 



11,097 
5,018 



74,857 



573,037 
94,854 
73,753 
336,084 
148,968 

3,188,230 



2,551,547 

368,185 

135,442 

32,056 

229,523 

1,163,759 



115,538 
17,577 
11,512 
48,967 
19,180 

296,233 



84,372 
54,434 
67,359 
716 
11,313 
53,761 

2,423 
12,340 

8,419 

186,579 



105,740 
14,007 
10,478 
40,874 
15,480 

223,608 



482 
150 
611 
154 
329 
325 
143 
71 
266 

1,376 



16,976 
4,663 

19,041 
2,375 
8,201 

10,759 
2,894 
2,669 
7,279 

42,140 



292 
209 
381 
351 

143 



241,013 
26,077 
24,537 
4,506 

11,252 

193,832 



178,280 
20,199 
21,124, 
4,005 

9,585 

163,471 



11,908 
6,634 
6,652 

12,220 

4,716 

20,535 



675,089 
133,145 
238,345 
117,179 

358,225 



100,088 
20,538 
49,091 
24,015 

51,073 



82,559 
18,491 
44,470 
17,951 

47,745 



117 
139 
198 
58 

2,833 

1,026 



119 
342 
500 
65 



7,544 
5,290 
5,966 
1,735 

81,088 

36,400 



342,298 
15,928 



629,334 
5,501 
5M,072 
176,417 
119,281 
44,231 
23,066 
111,815 
42,963 
13,781 
37,294 
14,519 
11,377 
48,761 
5,656 
70,903 



48,950 
2,123 



48,047 
4,753 



212,010 



37,908 

155 

38,979 

60,262 

14,705 

9,660 

650 

7,804 

1,778 

2,741 

6,355 

3,365 

1,508 

8,861 

1,104 

14,175 



45,796 
1,949 

58,732 

,6,547 

195,087 



31,766 

107 

40,755 

54,425 

14,150 

8,511 

532 

5,921 

1,601 

2,604 

7,148 

2,554 

1,426 

7,940 

929 

13,707 



858 
104 



3,558 



5,608 
10,603 
16,647 

3,542 

36.377 



33,367 
3,010 



24,357 
3,757 



84,291 



348 

75 

107 

354 

173 

158 

341 

706 

210 

324 

117 

29 

51 

58 

32 

475 



14,043 
783 
4,624 
9,922 
4,709 
3,377 
6,827 

13,303 
4,937 
5,160 
2,555 
773 
1,162 
1,842 

9,185 



109,988 



17,682 



6,899 

6,793 
371 
172 

1,262 

336 

507 

14 

1,328 

9,233 



2,166 
7,067 



4,658 



3,286 
1,372 



19,827 



5,890 

1,527 

3,306 

236 

1,976 

3,685 

474 

615 

2,118 

9,59S 



2,243 
1,539 
1,769 
2,826 

1,016 

3,586 



1,135 
752 

1,267 
421 

4,959 

10,379 



1,278 

2,627 

5,532 

942 

7.268 



6,738 

530 



4,664 



972 

4 

479 

4,805 

1,008 

1,147 

347 

1,153 

390 

1,512 

822 

240 

143 

556 

(M 

2,05~ 



94,746 



15,710 



6,102 

6,107 

315 

135 

1,U3 
282 

487 

13 

1,135 

8,588 



1,855 
6,733 



842 
4,087 



2,925 
1,161 



17,167 



4,935 

1,409 

2,790 

212 

1,882 

3,263 

425 

593 

1,658 

T,938 



2,292 
1,190 
1,546 
2,085 
825 

2,652 



693 

515 

1,056 

387 

3,804 

8,567 



986 
2,106 
4,920 

655 

6.464 



6,038 
426 



4,463 
864 



812 

4 

458 

41,73 
864 
895 
310 
995 
332 

1,190 
683 
223 
142 
407 
(M 

1,850 



See footnotes at end of table. 



10.16 



RETAIL TRADE-GENERAL STATISTICS 



Tabic lOE.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS, AND SMALL-STORE SAMPLE- 
UNITED STATES AND GEOGRAPHIC DIVISIONS, BY KIND OF BUSINESS: 1948— Continued 

EAST NORTH CENTRAL 
Stores, Sales, and Merchandise Inventories 
[Sec text for explanatory material and description of sample data included] 



kind ot" business 



Large stores and mukiunit stores 



(Humhcr) 



Sales, entire year 



Merchandise inventories.at cost 



End of year 
^Thousand doUars) 



Beginning 
of year 

(Thousand dollars) 



Sample of small single-unit stores 



Stores 



Q*iumber) 



Sales, entire year 
[Thousand dollars) 



Merchandise inventories.at cost 



End of year 
(Thousand dollars) 



Beginning 
of year 

{Thousand dollars) 



Total 

Food group 

Gro:er>' stores, without fresh meat 

Grocer)' stores, with fresh meat 

Meat markets, fish markets 

Fruir stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Baker>' products stores 

Ege, poultry dealers 

i-Ul other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores .... 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home hjrnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 



18,927 



2,090 
11,752 

1,388 
284 

1,018 

1,383 
660 
163 
189 

6,542 



4,518 
2,024 



623 
1,381 
1,915 

8,340 



1,792 
850 

2,360 
372 
436 

2,061 
125 
171 
173 

5,516 



2,418 
438 
225 

2,225 

210 

11,144 



7,831 

1,685 

1,304 

324 

4,030 

9,378 



3,958 
1,274 
1,796 
2,350 

3,266 



3,095 
171 



1,236 



249 



8,272 



1,800 

82 

2,428 

1,002 

347 

207 

294 

556 

189 

123 

289 

53 

107 

179 

60 

556 



20,694,107 



2,124,253 



1,887,873 



26,904 



862,991 



4,301,352 



259,593 
3,172,670 

216,609 
22,492 
81,021 

428,706 
49,352 
22,054 
48,755 

708,523 



151,654 



13,646 

122,272 

3,150 

546 

2,732 

5,197 

868 

341 

2,892 



150,310 



7,265 



543,078 
165,445 



2,954,378 
359,550 
473,775 

1,585,304 



355,590 
281,953 
556,503 
11,720 
44,776 
247,158 
19,080 
45,375 
13,049 

1,018,719 



544,155 
84,134 
48,335 

303,137 
38,958 

4,293,821 



3,573,240 

470,685 

184,150 

55,745 

439,603 

2,019,333 



1,095,153 
162,622 
349,133 
412,425 

551,451 



538,578 
22,883 



249,854 



15,232 



1,542,383 



464,256 

9,500 

623,040 

159, 8U 

84,029 

38,249 

21,604 

57,027 

17,052 

11,353 

51,998 

8,090 

6,664 

28,836 

9,291 

51,571 



12,633 
9,348 



11,027 



461,237 



345,642 
57,728 
57,867 

230,602 



71,012 
42,1293 
54,1328 
530 
4,610 
44,991 
2,722 
7,187 
2,429 

188,820 



115,049 

17,018 

4,362 

45,854 

5,537 

391,024 



310,694 

34,871 

36,477 

8,982 

23,071 

345,737 



170,159 
28,554 
72 ,096 
75,928 

54,876 



52,400 
2,476 



22,816 
2,828 



207,5 



48,450 

335 

51,291 

49,912 

12,504 

8,611 

727 

3,543 

837 

1,528 

12,158 

1,983 

835 

5,407 

1,803 

7,445 



14 


455 


120 


019 


3 


167 




502 


2 


795 


4 


812 




982 




434 


3 


144 


24 


092 


13 


989 


10 


103 



1,511 
3,724 
396 
216 
552 
173 
384 
92 
207 

7,126 



245 , 147 



2,970 
4,156 



185 
438 



36,503 
150,925 

16,844 
3,767 
9,253 
7,064 

12,704 
2,858 
5,229 

187,258 



70,505 
116,752 



345,362 
51,810 
53,483 

209,113 



244 

194 



52,718 
39,729 
50,304 
423 
3,882 
40,597 
2,428 
5,973 
2,059 

163,449 



304 
108 
307 
99 
90 
252 
90 



104,578 
12,425 
3,723 
37,940 

4,782 

310,338 



243,485 

27,853 

31,089 

7,911 

18,867 

282,908 



138,505 
24,132 
64,691 
55,580 

61 , 154 



59,017 
2,137 

24,223 

2,452 

179,866 



33,916 

226 

48,205 

45,080 

11,876 

7,978. 

619 

3,179 

796 

1,321 

10,920 

1,870 

786 

4,597 

1,571 

6,925 



263 
110 
168 
426 
139 



185 
180 
265 
94 

3,296 

1,419 



153 
413 
644 
209 



538 
133 



304 

50 

218 

350 

85 

178 

274 

175 

79 

202 

110 

16 

18 

46 

41 

338 



7,703 
5,798 



46,390 



13,239 
3,688 

10,364 
1,385 
2,043 
9,032 
1,874 
1,424 
3,341 

36,736 



11,206 
4,520 
2,919 

14,792 
3,299 

30,757 



11,694 
7,868 
8,277 
2,918 

110,815 

58,263 



8,227 
13,669 
23,918 
12,449 

35,261 



31,254 
4,007 



3,664 
70,650 



14,235 
1,225 
8,938 

11,217 
2,734 
4,146 
6,146 
3,553 
2,095 
2,956 
2,682 

(M 
(M 

1,619 
(M 
6,893 



102,065 



15,171 



3,326 

10,913 
305 

82 
548 
175 
415 

17 
390 

8,844 



1,411 
7,433 



1,553 

3.814 



2,379 
1,435 



13,535 



4,538 

1,424 

2,395 

132 

550 

3,180 

258 

252 

855 

9,070 



3,224 

1,034 
581 

3,465 
756 

5,368 



1,766 
957 

1,887 
748 

6,154 

15,610 



1,849 
3,057 
7,984 
2,720 

5,789 



5,134 
655 



13,160 



1,099 

10 

866 

4,724 

745 

1,115 

260 

328 

142 

803 

736 

(^) 

(M 

504 
(M 
1,443 



86,232 



14,359 



2,998 

9,718 

254 

63 

466 

144 

390 

13 

303 

8,597 



1,255 
7,342 



3,310 



2,102 

1,208 



11,310 



3,697 

1,216 

1,939 

111 

471 

2,695 

233 

229 

719 

7,051 



2,614 

774 

450 

2,653 

560 

3,842 



1,025 
767 

1,565 
485 

4,882 

12,569 



1,461 
2,623 
6,665 
1,820 

5.294 



4,736 
558 



1,911 



10,976 



694 

11 

818 

4,170 

637 

875 

225 

277 

126 

657 

657 

(M 

328 
(^) 
1,209 



See footnotes at end of table. 



INVENTORIES 



10.17 



Table lOE.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS, AND SMALL-STORE SAMPLE- 
UNITED STATES AND GEOGRAPHIC DIVISIONS, BY KIND OF BUSINESS: 1948— Continued 

WEST NORTH CENTRAL 
Stores, Sales, and Merchandise Inventories 

(Sec text for explanatory material and description of sample data included] 



Kind of business 



Large stores and multiunit stores 



Stores 



(T^umbcr) 



Sales, entire year 
(Thousand dollars) 



Merchandise inventories.at cost 



End of year 
{Thousand dollars) 



Beginning 
of year 

(Thousand dollars) 



Sample of small singlcunit stores 



Stores 



Q^umber) 



Sales, entire year 
(Thousand dollars) 



Merchandise inventories, at cost 



Hnd of year 
(Thousand dollars) 



Beginning 
of year 

(Thousand dollars) 



Total 

Toed group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores .... 

Family clothing stores 

Women's ready-tcywear stores 

MilUnery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 

Automotive group / 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores -. 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores . 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 

See footnotes at end of table. 



,349 



722 

5,904 

225 

29 

226 

397 

211 

70 

65 

2,493 



1,694 
804 



2,318 



278 
1,191 
849 



730 
399 
948 
163 
75 
605 
26 
76 
46 

2,678 



1,024 
85 
78 

1,456 
35 

6,422 



4,958 
683 
652 
129 

2,590 

8,792 



3,841 

538 

1,149 

3,264 

1,235 



,173 
62 



3,366 



483 
44 
1,415 

348 

138 
64 

102 

193 
34 
47 

140 
14 
45 
44 
40 

215 



9,201,271 



1,124,970 



423,072 



1,603,895 



72.909 



,619 
1,313,345 
37,316 
4,039 
13,370 
109,480 
10,352 
12,320 
17,054 

220,4 



6,394 

61,660 

798 

127 

650 

1,543 
228 
224 

1,285 

9,473 



73,065 



157,820 
62,668 



1,489,142 



3,925 

5,548 



12,789 



6,366 

61,514 

836 

123 

625 

1,710 
263 
178 

1,450 

10,516 



3,047 



102,973 



4,274 
6,242 



785 

1,678 

90 

35 

162 
67 

158 
35 
37 

3,295 



1,791 

1,504 



176 
289 



19,558 

69,311 

3,517 

(M 

1,692 
2,028 
_4,461 
1,251 
508 

73,8 



38,744 
35,144 



6,748 



1,006, 
313,660 
168,797 

572,265 



127,561 
134,818 
211,005 
• 4,241 
(x) 

67,772 
3,607 
13,370 
(x) 

432,151 



141,752 
47,059 
22,819 

90,823 



142,486, 
41,706 
21,424 

79,438 



155 

134 



5,515 
3,613 



19,875 



243,905 
19,055 
20,589 

145,635 
2,967 

2,052,166 



28,305 

22,566 

22,542 

169 

(x) 

12,757 

692 

2,710 

(x) 

84,513 



1,754,209 
179,513 
90,324 
28,120 

251,644 

1,500,947 



52,559 
3,408 
2,488 

25,344 
714 

217,648 



23,840 

19,118 

20,445 

196 

(x) 

11,694 
579 
2,602 
(x) 

71.277 



137 
65 

156 
23 
15 

116 
31 
10 
38 



6,169 

3,097 

4,889 

167 

(x) 

3,629 
(^) 

407 
(X) 

19,560 



182,095 

■12,863 

18,846 

3,843 

18,974 

287,720 



45,724 
2,607 
1,841 

20,571 
534 

164,339 



173 
32 

48 
277 
54 



134;W6 
10,697 
16,402 
3,044 

16,188 

225.933 



646,432 
70,870 
185,027 
598,618 

209,224 



201,734 
7,490 



6,614 
670,024 



130,078 
11,316 
40,207 

106,119 

28,551 



27,672 
879 



75,458 



102,592 
10,188 
35,745 
77,408 

26,795 



157 
107 
221 
31 



1,112 



7,167 
944 
939 

9,358 

(M 

21,780 



9,357 

4,895 

6,615 

913 

58,043 

49,120 



110 
234 
509 
259 



25,958 
837 



15,088 
670 



68,457 



5,540 

8,246 

19,870 

15,464 

20,288 



108,788 

2,691 

360,924 

50,273 

34,468 

12,484 

9,489 

16,353 

3,579 

3,244 

26,181 

1,439 

3,456 

6,514 

3,718 

26,413 



10,204 

147 

27,821 

16,393 

5,176 

2,864 
320 
822 
190 
579 

5,171 
265 
476 

1,286 
621 

3,023 



8,172 

113 

27,074 

14,316 

4,812 

2,511 
290 
757 
191 
531 

4,436 
259 
431 

1,037 
503 

3,024 



107 

233 

ISO 

1,116 



112 
29 
219 
198 
35 
63 
76 



26 

139 



17,455 
2,833 

9,053 

1,440 

31,171 



4,607 
(M 

8,063 

5,463 
314 

1,732 

2,198 
955 
(M 

736 

1,474 
{') 
(M 
(') 
(M 

2,796 



57,360 



8,353 



2,153 
5,822 

72 
(') 

73 
24 
147 
25 
24 

3.055 



648 
2,407 



1,291 
2.519 



1,563 
956 



5,830 



1,988 

1,002 

1,092 

12 

(x) 

1,214 
(^) 

147 
(X) 

4,947 



2,117 
225 

165 
2,217 
(M 

3,970 



1,564 

593 

1,638 

175 

3,645 

12,619 



1,325 
1,685 
6,073 
3,536 

3.901 



3,342 
559 

1,455 

283 

5,492 



385 

(') 

588 
2,089 
208 
472 
119 
84 

CM 

231 
362 

(M 

(M 

CM 
CM 

615 



7.485 



1,833 

5,299 

65 

CM 
so 

12 

143 

17 

20 

2,994 



568 
2,426 

1,187 

2,210 



1,359 
851 



4,816 



1,691 



861 
13 



944 



Cx) 

CM 

132 
CX) 

3.647 



1,618 
173 
166 

1,474 
CM 

2.990 



1,012 
459 

1,335 
133 

2,969 

9.399 



997 
1,338 
4,853 
2,211 

3.532 



3,017 
515 



1,491 

221 

4.658 



295 

CM 

537 

1,778 

187 

416 

127 

72 

CM 

199 
280 

CM 
CM 
CM 

CM 

505 



10.18 



RETAIL TRADE-GENERAL STATISTICS 



Tabic lOE.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS, AND SMALL-STORE SAMPLE- 
UNITED STATES AND GEOGRAPHIC DIVISIONS, BY KIND OF BUSINESS: 1948— Continued 



SOUTH ATLANTIC 

Storss, Sales, and Merchandise Invsntoros 

[See text for explanatory material and description of sample data included] 



Kind of business 



Large stores and multiunit stores 



Stores 



(Nu'T-ber) 



Sales, entire year 
(thousand dollars) 



Merchandise inventories,at cost 



End of year 
(Thousand dollars) 



Beginning 
of year 

(Thousand dollars) 



Sample of small singlc'Unit stores 



Stores 



Q^umber) 



Sales, entire year 
(Thousand dollars) 



Merchandise inventorics.at cost 



£nd of year 
{Thousand dollars) 



Beginning 
of year 

{Thousand doilaTS) 



Total 

Food group 

Grocery' stores, without fresh meat 

Grocer>' stores, with fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut-, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Eeg, poultry dealers 

.Air other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home mmishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers. .' 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations : 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores . . .** 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

norists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine ana equipment dealers. 
All other retail stores 

See footnotes et end of table. 



'^6,233 



9,33/i 



949 

6,613 

322 

94 

523 

431 

206 

■ 102 

94 



2,949 

754 



3,445 



414 
1,545 
1,486 



1,019 
957 
1,565 
154 
121 
926 
39 
34 
173 

3,677 



1,941 
134 
180 

1,342 
80 

6,326 



4,309 
993 
887 
137 

2,504 

3.469 



1,300 
369 

1,112 
688 

1.848 



1,663 

185 



1,494 



178 



4.442 



635 

133 

1,518 

639 

190 

113 

193 

190 

132 

112 

176 

17 

63 

80 

31 

220 



10.486,423 



1,091,308 



961,335 



439,430 



2,027,464 



86,101 
1,700,893 
41,431 
6,215 
22,237 
127,382 
10,446 
10,808 
21,951 

336,701 



0,937 



75,833 



290,139 
46, 562 

160,242 

1,755,417 



5,573 

69,646 

794 

283 

1,118 

1,767 
193 
167 

1,396 

10,332 



5,589 

64,669 

663 

258 

1,104 

1,789 
221 
126 

1,414 

10,340 



6,711 



1,097,545 
327,737 
330,135 

831,572 



7,112 
3,220 



23,076 
232,568 



135,109 
54,629 
42,830 

128.217 



6,864 
3,476 



218.272 



2,978 

2,834 

192 

157 

312 

28 

113 

42 

55 

3,472 



137,528 



33,297 
88,226 
3,973 
2,263 
3,357 
877 
2,743 
1,267 
1,525 

67,064 



2,331 

1,141 



163,083 

180,058 

319,313 

5,847 

11, 853 

126,006 

4,433 

8,593 

12,386 

609,859 



129,804 
49,109' 
39,359 

113,045 



44,806 
22,258 



12,751 
12.155 



293 

101 



9,459 
2,696 

24.848 



368,787 
23,463 
32,107 

167,136 
18,366 

2,219,099 

1,818,148 

251,546 

122,944 

26,461 

204,709 

855 . 294 



35,157 

32,293 

34,389 

198 

1,436 

20,180 

648 

1,519 

2,397 

103,045 



68,107 
4,478 
3,426 

24,510 
2,524 

205,175 



29,177 

29,486 

30, 396 

186 

1,319 

18,359 

544 

1,563 

2,015 

88.746 



157 
141 
194 
31 
31 
80 
33 
4 
61 



6,353 
6,016 
6,634 

570 

654 

2,567 

CM 

(M 

1,488 

22,813 



59,871 
3,890 
2,962 

19,826 
2,197 

161,695 



251 
46 
107 
180 
45 



11,000 
1,556 
1,868 
7,327 
1,062 

17,509 



162,966 

16,799 

•21,357 

4,053 

10,403 

136,273 



122,774 
13,586 
21,647 
3,688 

8,865 

110,465 



86 
105 
160 

33 

2,350 
463 



5,524 
4,317 
6,218 
1,450 

60,469 

19,011 



443,422 
50,108 
222,440 
139,324 

307,695 



57,839 

9,002 

46,243 

23,189 

37,079 



45,755 

7,198 

40,489 

17,023 

34,625 



65 
106 
251 



295,384 
12,311 

339,842 

12,318 

826,211 



35,638 
1,441 



28,099 
2,635 



93,469 



33,309 
1,316 

30,500 

2,530 

85,656 



165,832 

19,907 

366,081 

96,055 

40,189 

17,142 

14,248 

33,127 

8,133 

3,566 

22,478 

3,852 

5,565 

9.514 

6,760 

13,762 



11,758 

658 

28,591 

28,354 

5,966 

3,788 

414 

1,696 

499 

950 

4,633 

671 

708 

1.471 

1,249 

2,063 



9,435 

527 

28,075 

25,702 

5,707 

3,284 

385 

1,457 

473 

898 

3,920 

604 

700 

1,304 

1,208 

1,977 



338 
124 

241 

160 

1,200 



2,760 
3,868 
10,321 
2,062 

19.913 



16,492 
3,421 



10,858 
2,803 



31,708 



114 
21 

147 

180 
38 
62 

154 
41 
52 

122 



17 

18 

23 

158 



4,045 
396 
6,302 
5,467 
1,267 
1,143 
3,057 
679 
1,320 
1,367 
1,294 

IM 

(M 

519 

(M 
3,504 



52,033 



10,293 



3,329 

6,489 

65 

37 
210 
6 
61 
30 
66 

2,562 



1,093 
1,469 



1,968 
3.019 



2,378 
641 



6.454 



1,702 

1,832 

1,355 

87 

208 

824 

(M 

375 

4,905 



2,325 
339 
460 

1,555 
226 

2,933 



793 

515 

1,278 

347 

3,689 

5,028 



725 

838 

2,974 

491 

3.046 



2,499 
547 



1,272 



6.111 



419 

13 

646 

2,492 

326 

322 

135 

51 

72 

461 

301 



(') 



(M 



43,896 



8,839 



2,773 
5,698 
56 
24 
151 
5 
53 
15 
64 

2,334 



934 
1,400 



1,743 
2,623 



2,089 
534 



5.706 



1,490 

1,721 

1,229 

77 

187 

641 

(M 

293 



3.677 

1,901 

243 

403 

1.120 

210 

2,081 
485 
338 

1,060 
198 

2,871 

4,041 



513 

711 

2,477 

340 

2.629 



2,200 
429 



1,327 
711 



5,114 



265 

2 

560 

2,243 

229 

262 

99 

47 

59 

370 

232 



(M 



(M 



INVENTORIES 



10.19 



Tabic lOE.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS, AND SMALL-STORE SAMPLE- 
UNITED STATES AND GEOGRAPHIC DIVISIONS, BY KIND OF BUSINESS: 1948— Continued 

EAST SOUTH CENTRAL 

Storm, Sales, and Mbrchandue iNVENTOtms 

[See text for explanatory material and description of sample data included] 



Kind of business 



Large stores and multiunit stores 



Stores 



(T^umher) 



Sales, entire year 
(Thousand dollars) 



Merchandise invcntories.at cost 



End of year 
(Thousand dollars) 



Beginning 
of year 

{Thousand dollgrf) 



Sample of smaL ingleninit stores 



Stores Sales, entire year 

'(Number) (Thousand dollars) 



Merchandise inventones.at cost 



End of year 
(Thousand dollars) 



Beginning 
of year 

(Thousand dollars) 



Total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

Air other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise groiip 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, lx)ys' clothing, furnishings stx>res 

Family clothing stores 

Women's ready'tO'Wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Driig stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, ^rm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store macmne and equipment dealers. 
All other retail stores 

See footnotes at end of table. 



20,600 



4,074 



409 

,255 

76 

8 

97 

147 

49 

15 

18 



1,092 
296 



135 

1,072 

642 

1,979 



325 
569 
594 
59 
28 
342 
15 
10 
37 

1,665 



919 
26 
36 

667 
17 

3,151 



2,291 

433 

389 

38 

1,062 

2,076 



739" 
178 
594 
545 



639 
64 

413 

89 

1.659 



233 
63 
556 
282 
44 
47 
62 
50 
30 
23 
66 
9 
27 
21 
12 
84 



4,235,394 



468,378 



9,231 



226,024 



744,284 



34,259 



32,915 



4,012 



80,170 



31,167 

648,625 

9,737 

461 

3,852 

34,538 

3,326 

2,559 

10,019 

98,417 



2,405 

30,166 

149 

11 

221 

492 

74 

118 

623 

2,515 



82,716 
15,701 

80,475 

700,867 



1,750 
765 



11,569 
96.687 



2,285 

29,017 

'137 

10 

184 

432 

96 

107 

647 

2,573 



1,724 
849 



2,274 

1,554 

37 

33 

50 
11 
34 
10 



1,592 



1,155 
437 



24,278 
52,227 
877 
(') 

471 
584 
(M 

275 

26,864 



19,063 
7,801 



11,991 



8,598 



392,132 
187,115 
121,620 

343,928 



47,704 
33,246 
15,737 

51,858 



59,908 
96,922 
133,218 
2,128 
2,230 
43,909 
1,069 
1,994 
2,550 

240, 801 



157,780 
4,900 
6,576 
69,986 
1,559 

1,083,066 



12,119 

17,712 

13,908 

56 

215 

6,823 

209 

283 

533 

42,828 



47,184 
29, 851 
13,749 

45,480 



236 
58 



899,056 
121,107 
56,746 
(x) 

81,586 

424, 945 



30,092 
761 
452 

11,159 
364 

99,936 



9,851 

15,989 

12,380 

51 

203 

6,262 

120 

280 

344 

36.559 



7,083 
1,515 

9,910 



2,305 
3,464 
2,066 

(M 

(1) 
1,225 

(M 

(1) 

(M 

11,155 



26,750 

577 

375 

8,551 

3C6 

76,840 



140 
14 
33 
99 

18 



6,023 
(M 

457 

3,698 
(M 

9,120 



(x) 



81,671 
7,374 
9,994 



(x) 



61,936 
6,177 
8,055 



4,696 
70,790 



197,272 
22,093 

105,722 
99,858 

98.876 



95,571 
3,305 



94,634 
6,203 



237.312 



26,612 
3,691 
22,639 
17,848 

12.445 



3,949 
55,936 



2,838 
2,046 
3,766 
(x) 

27, 199 

12,251 



42,620 

4,720 

103,588 

40,146 
6,756 
6,088 
4,849 
5,591 
1,788 
707 
9,066 
1,539 
1,756 
2,092 
946 
5,060 



11,973 
472 



1,217 
31.987 



21,345 
3,329 
19,258 
12,004 

11.292 



51 

56 

142 

31 



3,241 
126 

8,737 
12,852 

1,127 

1,435 
153 
253 
102 
191 

2,083 
362 
149 
371 
127 
678 



10,874 
418 



7,751 
1,258 



28,221 



204 
56 



2,274 
2,000 
6,234 
1,743 

11,729 



2,560 
72 

7,828 
11,459 

1,054 

1,160 
154 
218 
110 
163 

1,803 
346 
139 
358 
115 
682 



10,368 
(M 



2,810 



1.041 



13.186 



2,317 
194 
3,516 
2,159 
430 
(M 
1,029 
199 
(M 
(?) 

231 
(1) 
f^) 

(M 
(1) 
(M 



29.04 9 



24,034 



7,257 



2,795 
4,364 
19 
(') 

18 
6 
(') 

16 

726 



433 
293 



2,158 
2.273 



1,943 
330 



2,806 



666 
1.138 

444 
(') 
(') 

321 
(n 
(M 
(M 

2.622 



1,412 

134 
859 

(^) 
1,730 



491 
311 
823 
(x) 

1.588 

3.006 



520 

376 

1,686 

424 

1,857 



1,609 
(1) 



2.468 



160 

405 
1,098 

lis 



{>) 



(M 
(M 

(') 
(') 
(') 
(M 



6,046 



2,273 

3,685 
18 
(') 

19 
1 
(?) 
(') 

20 

634 



353 
281 



1,934 
1.982 



1,684 
298 

2,325 



(M 

(1) 
(M 
(') 



558 
999 
345 



2,017 



1,112 

(M 

118 
634 

(1) 

1,212 



249 
204 
672 
(x) 

1,268 

2,326 



431 

270 

1,371 

254 

1.667 



1,442 

(') 



2.084 



(i) 



(') 
(1) 

(») 
O 
(') 

(M 
(M 



116 

350 
929 
99 

38 
13 



10.20 



RETAIL TRADE-GENERAL STATISTICS 



Tabic lOE.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS, AND SMALL-STORE SAMPLE- 
UNITED STATES AND GEOGRAPHIC DIVISIONS, BY KIND OF BUSINESS: 1948— Continued 

WEST SOUTH CENTRAL 

Stores, Sales, and Merchandise Inventories 

[Sec text for explanatory material and description of sample data included) 



Kind of business 



Large stores and multiunit stores 



Q^uynbcr) 



Sales, entire year 
(thousand doIldTs) 



Merchandise inventories.at cost 



End of year 
(Thousand dollars) 



Beginning 
of year 

(Thousand dollgTs) 



Sample of small single-unit stores 



Stores 



Q^umber) 



Sales, entire year 
(Thousand dollars) 



Merchandise inventories.at cost 



£nd of year 
(Thousand dollars) 



(Thousand dollars) 



Total 

Food group 

Grocer>' stores, without fresh meat 

Grocer>' stores, with fresh meat 

Meat markets, bsh markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg. poultry dealers 

AU other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores .... 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumberyards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 

See footnotes at end of table. 



6,955 



800 
5,517 
154 
25 
106 
175 
106 
44 
28 

2,732 



430 
2,723 



201 
1,493 
1,029 

2,773 



479 
670 
873 
68 
68 
517 
28 
14 
56 

2,545 



1,300 
73 
104 

1,045 
23 

5,480 



3,666 

881 

351 

82 

1,672 

4,944 



2,753 
332 
638 

1,221 

1,379 



,234 
145 



301 
54 
839 
387 
119 
81 
139 
136 
39 
63 
130 
28 
47 
47 
37 
196 



7,625.786 



891,958 



758,802 



344, 211 



1,406,005 



70,100 
1,235,958 

16,147 
2,560 
4,558 

48,583 
9,070 
9,110 
9,919 

193,326 



65,528 



162,023 
31,303 



74,181 



4,640 
58,173 
385 
47 
264 
803 
278 
185 
748 

4,879 



62,747 



1,260,6 



2,980 
1,899 



11,347 



176,437 



4,618 
55,492 
330 
52 
270 
795 
268 
174 
748 

5,097 



4,332 



739,412 
338,653 

182,744 

549,943 



96,539 

157,389 

200,913 

3,415 

6,867 

74,948 

3,538 

1,901 

4,433 

410,311 



96,365 
55,109 
24, 963 

6,522 



3,030 
2,067 



166,654 



1,721 
2,224 
85 
43 
112 
14 
92 
24 
17 

2,910 



102,089 



22,128 

72, 828 
2,402 
(') 

790 
470 
1,905 
768 
281 

51,413 



1,811 
1,099 



19,462 

29,504 

22,737 

148 

794 

12,074 

549 

413 

841 

76,814 



93,031 
50,551 
23,072 

77.109 



35,233 
16,180 



10,353 
12,131 



242 
125 



245,703 
12,872 
18,352 

131,525 
1,859 

1,856,100 



50,739 
2,134 
2,715 

20,908 
313 

186,017 



15,876 

27,523 

20,218 

136 

756 

10,982 

398 

423 

797 

62,288 



SO 
87 
125 
15 
8 
50 
21 



8,952 
3,179 



14.710 



3,U5 
3,872 
4,076 

(M 

156 
1,652 

(') 

(M 

(M 

16,274 



1,486,758 
225 ,453 
125, 772 
(x) 

143,166 

998,528 



612,405 
48,118 
94,121 

243,884 

201,180 



145,205 
15,514 
22,900 
(x) 

8,790 

175,018 



42,653 
1,439 
2,279 

15,629 
288 

131,913 



190 
26 
55 

172 
27 



7,664 

772 

1,032 

6,265 

(M 

19,007 



191,283 
9,897 



13,173 
429,799 



99,708 

7,311 

23,057 

44,942 

26,431 



97,688 
12,871 
19,291 
(x) 

7,453 

141,252 



97 
124 
226 

29 

1,815 

507 



6,029 
5,218 
7,130 
(x) 

47,485 

21,657 



25,141 
1,290 



1,766 



59,165 



82,317 

6,493 

19,966 

32,476 

24.657 



116 
116 
198 
77 



5,512 
3,955 
7,858 
4,332 

16,887 



23,500 
1,157 



13,541 
1,636 



53,905 



336 

117 



14,180 
2,707 

7,791 

2,294 

22,120 



48,030 

2,783 

172,807 

81,411 

26,375 

13,500 
8,243 

14,669 
4,122 
2,643 

21,777 
4,531 
3,384 
8,07fi 
4,393 

12,555 



3,928 

41 

11,710 

23,948 

4,188 

3,960 
359 
731 
250 
749 

4,309 
954 
198 

1,294 
329 

1,717 



3,447 

30 

10,776 

22,356 

3,774 

3,405 
341 
631 
252 
710 

3,601 
941 
166 

1,126 
695 

1,654 



33 
31 
172 
128 
35 
48 
124 
23 
39 
54 
36 
5 



23 

110 



1,370 

(M 

6,840 
2,988 

886 
1,211 
2,363 

419 
(M 

(M 

837 
181 
(M 

307 

(M 

2,394 



43,297 



3,265 



2,136 

5,958 
46 



{M 



49 

14 

10 

1,352 



583 
764 



1,865 
3,510 



2,734 

776 



4.051 



950 
1,249 

965 



32 

486 



(M 
(M 
(M 



3,851 



1,900 
145 
231 

1,333 
(M 

3,393 



1,052 
523 
1,690 
(x) 

2,917 

5,365 



1,085 

775 

2,486 

1,019 

3,204 



2,713 
491 

1,083 

593 

3,848 



116 
(M 

539 
1,270 
208 
295 
161 
24 

(M 
(M 

218 
43 

(M 

49 
(M 

505 



INVENTORIES 



10.21 



Table lOE.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS, AND SMALL-STORE SAMPLE^ 
UNITED STATES AND GEOGRAPHIC DIVISIONS, BY KIND OF BUSINESS: 1948— Continued 

MOUNTAIN 
Stores, Sales, and Merchandise Inventories 
[See text for explanatory material and description of sample data included] 



Kind of business 



Large stores and multiunit stores 



Stores 



(J^UTTiber) 



Sales, entire year 
(Thousand dollars) 



Merchandise inventories,at cost 



End of year 
(Thousand dollars) 



Beginning 
of year 

{Thousand dollars) 



Sample of small single'unit stores 



Stores 



(T^UTnberj 



Sales, entire year 



{Thousand dollars) 



Merchandise inventories.at cost 



Hnd of year 
(Thousand dollars) 



Beginning 
of year 

(Thousand dollars) 



Total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, 6sh markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home mrnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumberyards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 



2,872 



185 

2,338 

105 

13 

63 

96 

53 

8 

11 



817 
530 



109 
524 

317 



231 

195 

340 

39 

14 

178 

9 

14 

23 



474 
37 
34 

512 
19 

2,364 



1,811 

266 

234 

53 

1,045 



189 
348 
652 



620 
20 



1,205 



294 
182 
58 
64 
51 
64 
22 
76 
57 
3 
22 
31 
12 
71 



3,356,396 



407,314 



353,810 



4,434 



665,699 



23,960 

592,544 

15,401 

857 

2,554 

22,465 

3,473 

1,493 

2,952 

118,910 



31,148 



31,121 



1, 

23,127 

380 

17 
112 
359 
88 
36 
149 



1,839 

28,092 

452 

6 

116 

353 

95 

32 

136 

4,705 



294 
522 
22 
14 
48 
25 
47 
4 
10 



29,698 



82,916 
35,994 



2,040 
2,384 



9,094 



2,159 
2,546 



8,647 



623 
522 



5,678 
19,746 
822 
(M 
(M 

777 

(M 

(') 

(M 

28,556 



277,238 

155,369 

66,656 

176,179 



42,888 

23,547 

9,474 

32,141 



(x) 



(x) 



37,637 
41,701 
63,980 
1,145 

23,502 
1,533 
4,190 



(x) 



8,965 
9,294 
7,716 
80 

4,632 

169 
850 



41,836 

21,462 

8,521 

28,315 



14,675 
13,881 



2,451 
3.252 



1,963 
1,289 



6,838 



(x) 



7,465 
8,193 
7,064 
74 

4,182 
168 
790 



(x) 



(x) 



176,426 



105,164 

6,898 

4,144 

60,192 

3,028 

741,992 



34.418 



28,529 



21,374 

1,322 

482 

10, 696 

544 

79,768 



17,997 

968 

385 

8,698 

481 

61,064 



1,573 
1,232 
2,385 

(M 

(x) 

997 

(M 

(M 

(x) 

6,666 



634.371 
61,561 
35,704 
(x) 

100,802 

470,994 



(x) 



65,971 
5,507 
6,619 



(x) 



48,826 
4,559 
6,436 



2,425 
(M 
(M 

2,866 

(M 

6,563 



237,154 
31,366 
62,586 

139,888 

103,209 



5,813 

38.521 



5,156 



71,231 



2,409 
1,946 
1,758 
(x) 

22,883 

8.849 



41,831 
5,017 
14,701 
26,972 

14,637 



101,802 
1,407 

53,859 

3,062 
185,737 



14,451 
186 

4,614 

544 

26,283 



33,251 
4,620 
12,430 
20,930 

13,627 



1,651 
2,236 
3,019 
1,943 

5.928 



34,211 

1,154 

72,626 

21,591 

11,372 

9,524 

3,504 

5,199 

1,780 

3,163 

10,160 

310 

1,963 

3,223 

1,548 

4,409 



2,652 

19 

6,886 

6,767 

2,061 

2,255 

142 

362 

186 

880 

2,387 

56 

204 

533 

250 

633 



13,455 
172 



24.443 



104 
24 



2,594 

19 

6,446 

6,256 

1,978 

2,062 

149 

376 

191 

820 

2,107 

39 

224 

488 

161 

533 



{') 

2, 
(■M 
11,763 



1,067 
(M 

1,604 

2,208 
656 

1,035 
(M 
(M 
(M 
(M 

553 
(M 
(') 
(M 

(M 

(M 



17.412 



2.453 



532 
1,772 
22 



(M 

(M 
(M 



222 

918 



410 

874 



576 
298 



1,930 



477 
361 
525 



(x) 

(M 
(M 

(x) 



(M 
(M 

621 

(1) 

1.267 



348 
326 

441 
(x) 

' 1,404 

2.072 



406 
280 
909 
477 

1.167 



1,047 
(') 



(M 



2,570 



108 

(M 

125 

1,098 

156 



(M 
(M 
(M 

(M 

(M 

(M 
(M 
(M 
(M 



301 



455 
1,578 

17 



(M 
(M 

(M 
(M 



1.073 



208 
865 



356 

724 



492 
232 



404 
340 
419 



(M 
(x) 

{') 

(M 

(x) 



(M 
(M 

(M 



195 
105 
409 
(X) 

1,169 



230 
233 
687 
260 

1.015 



(M 



(M 



908 



2.206 



(1) 



(') 
(M 
(M 
(M 

(^) 

(M 
(M 

(M 



98 
970 
106 
256 



See footnotes at end of table. 



10.22 



RETAIL TRADE-GENERAL STATISTICS 



Tabic lOE.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS, AND SMALL-STORE SAMPLE- 
UNITED STATES AND GEOGRAPHIC DIVISIONS, BY KIND OF BUSINESS: 1948— Continued 



PACIFIC 

Stoiubs, Sales, and Merchandise Invbntorjbs 

[Sec text for explanatory material and description of sample data included] 



Kind of business 



Large stores and multiunit stores 



(J^uTTiber) 



Sales, entire year 



(TTiousawi dollars) 



Merchandise inventories.at cost 



End of year 
f^Thousand dollars) 



Beginning 
of year 

{Thousand dollars) 



Sample of small single^unit stores 



Stores 



Qjumher) 



Sales, entire year 
(Thousand dollars) 



Merchandise inventories.at cost 



End of year 
(Thousatid dollars) 



Beginning 
of year 

(Thousawd dollars) 



Total . 



Food group 

Grocery stores, without firesh meat. 
Grocery stores, with fresh meat . . . . 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores. . . 
Dairy products stores, milk dealers . . 

Bakery products stores 

Egg, poultry dealers 

.Mother food stores 



Eating and drinking places . 

Eating places 

Drinking places 



General stores . 



General merchandise group 

Department stores 

Dry goods, general merchandise stores . 
Variety stores 



Apparel group 

Men's, boys' clothing, furnishings stores . 

Family clothing stores 

Women's ready-tO'Wear stores 

Millinery stores 

Other apparel accessory, specialty stores . 

Shoe stores '. 

Custom tailors 

Furriers, fur shops 

All other apparel stores 



Furniture, furnishings, appliance group. 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 



Automotive group 

Motor vehicle (new and used) dealers. 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 



Gasoline service stations . 



Lumber, building, hardware group. 

Lumber yards, building materials dealers . 

Plumbing, paint, electrical stores 

Hardware stores 

— '^Pirin equipment dealers 



Drug and proprietary stores. 

Drug stores 

Proprietary stores : 



Liquor stores 

Second-hand stores. 



Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 



-^6,212 



10,983 



1,458 
7,130 
876 
202 
367 
2U 
'tis 
129 
ISi 

4,985 



3,479 
1,506 



2,248 



268 

944 

1,036 

4,324 



329 

1,372 

143 

200 

1,071 

76 

79 

170 

3,359 



1,491 
260 
199 

1,232 
177 

5,216 



3,068 

1,125 

763 

260 

3,040 



,933 
611 
848 
593 



1,977 
92 



440 

39 

996 

635 

272 

208 

195 

281 

82 

158 

182 

41 

91 

156 

50 

371 



X Withheld to avoid disclosure. 

^ Not shown separately because of insufficient data. 



1,284,097 



1,157,526 



369,268 



2,709,793 



240,038 
2,126,295 

130,954 
23,130 
26,045 
96,965 
23,019 
17,190 
26,157 

553,374 



126,321 



445,534 
107, 8iO 



1,735,270 



1,288,749 
255,839 
190,682 

741,844 



163,301 

114, 113 

283,531 

4,942 

(x) 

125,880 

8,948 

11,016 

10,471 

683,812 



385,632 
43,576 
51,077 

182,175 
21,352 

2.236^257 



1,784,338 
288,774 
116, 696 
(x) 

283,135 

1,056,750 



18, 971 

100,789 

2,245 

275 

1,200 

898 

356 

183 

1,404 

18,966 



123,795 



11,020 
7,946 

5,643 

249,850 



176,935 
42,278 
30,637 

U6,380 



40,418 
25,663 
36,488 
243 
(x). 
23,639 
1,459 
2,811 
2,309 

135,190 



85,307 
7,721 
8,100 

29,989 
4,073 

235,851 



599,748 
86, 916 
165,326 
204,760 

338, 663 



331,421 
7,242 

185,399 

22,180 

755,815 



98,431 

4,213 

317,305 

101,688 

61,075 

19,222 

12,137 

30,412 

8,496 

5,362 

34,206 

3,138 

5,465 

13,877 

6,952 

28,286 I 



183,704 
24, 071 
20,632 
(x) 

11,241 

180,912 



13,060 

99,007 

2,401 

248 

1,163 

860 

405 

276 

1,375 

22,003 



2.302 



34.841 



747 
903 
174 
32 



167 
33 



24,254 
40,595 
7,567 
1,975 
1,409 
1,041 
4,829 
1,231 
1,940 

79,444 



12,296 
9,70V 



5,163 



1,952 
1,092 



33 
235 



172,211 
40,101 
27,183 

123,259 



47,350 
32,094 



1,792 

7,321 



117 
168 



35,863 

21,792 

33,557 

231 

(x) 

22,522 
1,346 
3,014 
2,390 

116,520 



151 
44 
235 

32 
32 
88 
68 
17 
96 



3,273 

4,043 



23,734 



74,941 
6,168 
7,062 

24,996 
3,353 

186,867 



33,372 
12,906 
39,335 
44,799 

53,365 



52,400 
965 



3,154 
105,985 



5,211 

32 

28,184 

32,345 

9,911 

5,153 

585 

2,585 

625 

1,516 

7,561 

873 

474 

' 4,403 

1,694 

4,323 



137, 974 
23,662 
18, 987 
(x) 

9,503 

154,322 



179 

90 
124 
176 
104 



5,300 

2,061 

7,963 

310 

(x) 
3,055 
1,040 

(M 
2,124 

21,250 



6,869 
2,869 
2,241 
7,049 
2,222 



75,807 
11,450 
34,445 
32,620 

50, 625 



49,610 
1,015 



20,383 
2,746 



102,345 



5,032 
30 
29,810 
30,860 
9,320 
4,746 

552 
2,679 

593 
1,381 
6,686 

670 

459 
4,014 
1,257 
4,706 



37 
113 
126 

50 

1,721 
475 



35 
167 
198 

25 



237 
39 



50 
13 
86 

192 
78 

129 

152 
83 
34 

164 
62 
13 
8 
43 
23 

261 



13,366 
2,423 
5,406 
4,413 
(x) 

55,023 



13,743 
3,365 
5,527 
8,037 
1,314 

13,023 



12,191 
(M 

14,120 

3,251 

32,860 



1,393 

(1) 
3,378 
5,208 
2,028 
3,101 
2,977 
1,591 
740 
2,508 
1,571 

(M 

197 
1,433 

(M 
4,568 



47,556 



6,432 



2,501 

3,313 

73 

56 

37 

19 

161 

29 

193 

2,957 



811 
2,146 



281 
2.276 



1,143 
1,133 



7.019 



2,031 

695 

1,335 

33 

(x) 

1,182 

183 

(^) 

707 

5,221 



1,920 
622 
584 

1,599 
496 

2,295 



315 
739 
970 

2,323 
4,559 



676 
l.,016 
2,622 

245 

2,735 



2,572 

(M 

2,354 

733 

7,871 



115 

CM 

, 281 

2,615 

538 

950 

107 

231 

87 

917 

447 

(M 

19 
374 
(M 

824 



40,107 



5.551 



2,150 
2,373 
66 
38 
91 
13 
143 
17 
160 

2.928 



767 
2,161 



260 
1.926 



997 
931 



5.913 



1,552 

717 

1,534 

26 

(x) 

965 
164 
(M 

607 



4.107 

1,540 

432 

504 

1,239 

392 

1,763 



197 
491 
809 
(x) 

2,155 

3,460 



418 

778 

2,068 

196 

2,415 



2,298 

(M 

2,170 

662 

6,795 



119 
(M 

234 

2,314 

548 

783 

81 

212 

84 

783 

347 

(M 

17 
299 
(M 

662 



INVENTORIES 



10.23 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MIJLTIUNITS— STATE, BY KIND OF BUSINESS: 1948 

Storis, Salb», and Merchandise Inventories 
[See text for explanatory material] 



Kind of business 



Alabama 



Large stores and multiunits 



Q^umbcr) 



Sales, 
entire 
year 

{Thousatid 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



Beginning 
of year 

{Thousand 
dollars) 



Small single'Unit stores 



Stores 
(>iumber) 



Sales, 

entire 

year 

{Thousand 

doiidr5) 



Arixona 



Large stores and multiunita 



Stores 



{ dumber) 



Sales, 
entire 
year 
{Thousand 
dollgrj) 



Merchandise inventories. 
at cost 



End of year 

{Thousand 

doildT5) 



Beginning 
of year 

(Thousand 
dollars) 



Small itngldinit •tores 



Stores 
(Number) 



Sale*. 

entire 

year 

(JTttnuaiul 

dollari) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, 6sh markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

AJr other food stores 

fating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group. 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fiiel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 

See footnotes at end of table. 



5,264 



i<;6 

790 
12 
1 
33 
26 
12 
3 
A 



316 
5i 



452 
~2ff" 



260 
164 



153 

141 

17 

4 

87 

2 

2 

7 



272 
4 
11 

224 
6 



526 

140 

113 

7 

275 

445 



146 

24 

155. 

110 



160 
19 



^59 

25 

141 

78 

19 

18 

20 

13 

10 

2 

18 

2 

7 

2 

2 

22 



1,07C,186 



115,010 



98,850 



23,492 



552,673 



1,938 



486,371 



51,758 



45,987 



189,763 



,450 



7.904 



8,810 
167,165 
1,677 
(x) 
1,354 
7,385 
800 
(x) 
(x) 

26,610 



651 
7,429 
13 
(x) 

55 
117 
25 
(x) 
Cx) 

539 



62g" 
5,921 

11 

(x) 

55 
99 
28 

(x) 

(x) 

502 



10,837 



227,683 



23,618 
2,992 

35,291 

158,430 
77,895 
43,748 
36,787 

91,078 



446 
93 



6,054 
4,255 
122 
84 
152 
38 
81 
21 
20 

3,521 



81,623 
137,655 
2,041 
(x) 

617 
1,033 
2,364 
(x) 
(x) 

55,905 



24 
364 
6 
3 
12 
3 
5 

2 

179 



101,360 



2,961 
660 



4,665 
22,512 



4,458 
20, 523 



13,867 
29,913 
33,557 
490 
(x) 

11,973 
(x) 
(x) 
(x) 

65,987 
43,998 
(x) 
1,775 
18,940 
(x) 

274,990 



9,395 
8,774 
4,442 

12,900 



2,778 

4,883 

3,376 

22 

(x) 
1,660 

(x) 

(x) 

(x) 

10,725 



8,965 
7,587 
3,971 

11,507 



45,303 
11,602 



25,986 
28,464 



730 
122 



220, 550 

37,301 

16,151 

978 

18,867 

88,309 



7,530 
(x) 
152 

2,815 
(x) 

24,537 



2,283 

4,559 

2,902 

18 

(x) 
1,615 

(x) 

(x) 

(x) 

9,382 



114 
220 
198 
19 
10 
70 
25 
1 
32 



25,199 
3,265 



23,439 



4,426 

8,852 

5,745 

320 

(x) 
2,754 

(x) 

(x) 

(x) 

25,542 



19,631 

2,a8 

2,551 

137 

848 

14,940 



6,877 
(x) 
129 

2,230 
(x) 

18,147 



331 
23 



196 
56 



14,827 

(x) 
1,455 
7,422 

(x) 

18,526 



14,113 
1,814 
2,105 

115 

848 
11,838 



36,017 
3,750 
28,682 
19,860 

23,755 



4,868 

584 

5,757 

3,731 

3,172 



69 
98 
257 
32 

2,622 

674 



3,822 
4,960 
8,747 
1,097 

67,413 

29,006 



22,977 
778 

(x) 

(x) 



8,977 
982 

23,955 

12,791 
2,488 
2,248 
1,408 
1,032 

(x) 

(x) 
2,471 

Cx) 

(x) 

(x) 

(x) 

(X) 



3,096 
76 

(x) 

(x) 

Jxl. 



3,814 

530 

4,853 

2,631 

2,892 



123 
123 
367 
61 



6,023 
4,120 
15,731 
3,132 

26,798 



^2?^ 

21 

1,930 

3,602 

440 

550 

18 

37 

(x) 

(x) 

724 
(x) 
(x) 
(x) 
(x) 
(x) 



2,818 
74 

(x) 

(x) 

JxL 



764 

15 

1,798 

2,940 

419 

459 

19 

28 

M 

(x) 

532 
(x) 
(x) 
(x) 
(x) 
(x) 



509 
179 



176 
1,271 



22,418 
4,380 

(x) 

(x) 

(x) 



194 


4,329 


45 


674 


186 


7,410 


217 


4,802 


23 


843 


56 


1,355 


204 


3,344 


26 


546 


37 


(x) 


57 


(x) 


38 


689 


2 


(x) 


14 


(x) 


22 


(x) 


19 


Cx) 


131 


Cx) 



113 
66 



53 
114 



3,615 
93,029 
769 
(x) 

459 
Cx) 
Cx) 

Cx)'" 

18,619 



4,042 



4,033 



282 
3,699 
25 
Cx) 

15 
Cx) 
Cx) 

Cx)"' 



282 
3,668 
23 
Cx) 

15 
Cx) 
Cx) 

Cx)'" 



13,126 
5,493 



16,092 
70,991 



33,650 
25,350 
11,991 

26,395 



302 
257 



2,067 
9,426 



17 

34 

45 

6 

3 

38 

1 

9 

124 



2,290 
8,846 

10,025 

Cx) 

Cx) 
4,750 

Cx) 

558 

30,534 



4,374 
3,287 
1,755 

4,455 



377 
322 



1,970 
8,953 



178 
39 
37 

13 

125 

204 



19,630 
990 
Cx) 
8,423 
Cx) 

93,041 



493 
1,305 
1,284 
Cx) 
Cx) 

735 
Cx) 

104 

5,283 



4,385 
3,060 
1,508 

4,087 



72,085 

11,813 

7,206 

1,937 

12,326 

64,530 



3,789 
139 
Cx) 

1,160 
Cx) 

9,544 



425 
1,742 
1,297 
Cx) 
Cx) 

491 
Cx) 

101 

4,563 



7,094 

1,025 

1,044 

380 

444 

9,919 



3,220 
173 
Cx) 

1,047 
Cx) 

7,231 



5,154 
741 

1,082 
254 

393 

8,459 



108 
32 
35 
28 



41,779 
5,244 
7,425 

10,081 

Cx) 



5,381 

820 

1,491 

2,227 

Cx) 



4,922 

843 

1,209 

1,485 

Cx) 



113 
4 



18,999 
Cx) 

2,491 

Cx) 

29,654 



7,694 
Cx) 

10,247 
3,595 
(x) 
826 
845 
Cx) 

424 
1,072 
1,353 

Cx)"' 
700 
Cx) 



2,535 
Cx) 

226 

Cx) 

3,167 



Cx) 



Cx) 



Cx) 



517 
) 

611 

320 
) 

161 
44 

75 
305 
256 



2,412 
Cx) 

265 

Cx) 

2,343 



Cx) 



Cx) 



Cx) 



430 
) 

559 

745 
) 

130 
46 

74 
235 
225 



Cx) 
Cx) 



Cx) 
Cx) 



6,105 



1,417 



386 
842 
26 
28 
35 
8 
67 
3 
22 



1,120 
501 



31 
238 



119 
119 



20 
64 
81 
35 

1,001 

187 



115 
21 



136 
585 



"25" 
9 
51 
88 
22 
40 
38 
18 
26 

127 
17 
13 
4 
15 
16 
81 



171,186 



42,283 



7,097 

30,922 

1,096 

Cx) 

545 
(x) 
Cx) 

116 
Cx) 

38,869 



21,648 
17,221 

1,343 

6,472 



4,104 
2,368 

7,233 



1,794 
1,429 
2,275 
Cx) 
Cx) 

813 
Cx) 
Cx) 

543 

7,440 



3,027 
754 
Cx) 

2,314 
Cx) 

7,281 



1,017 
2,437 
2,644 
1,183 

28,345 

6,808 



1,910 

2,481 

2,122 

295 



,010 
,007 

,869 



,893 

,081 

853 
807 

518 
,702 
383 
457 

420 

1,505 



10.24 



RETAIL TRADE— GENERAL STATISTICS 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

Stores, Sales, and Mbrchandisb Invbntoribs 
[See text for explanatory material] 



Kind of business 



Large stores and multiunits 



Stores 
(dumber) 



Sales, 
entire 
year 

{Thousand 
dollaTs) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 

doUars) 



Beginning 
of year 

(Thousand 
dollars) 



Small singlc'unit stores 



Stores 
(Humber) 



Sales, 

entire 

year 

(Thousand 

dollars) 



California 



Large stores and multiunits 



Qjumher) 



Sales, 
entire 
year 
(Thousand 
doitars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 

dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small single'iinit stores 



Stores 
(Number) 



State, total 

Food group 

Grocery stores, unthout fresh meat 

Grocer>' stores, with fresh meat . 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectioner>' stores 

Diiry products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

AU other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores .... 

Family clothing stores 

Women's ready-tO'wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, ferm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores .- 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 

See footnotes at end of table. 



3,-M-7 



550 



62 

«6 
2 



102 
-10 



37 
111 

79 
A- 
2 

42 
1 
2 
2 



165 
5 
2 



<t50 

82 

97 

2 



213 
36 
84 

172 



667,935 



85,695 



69,307 



18,796 



415,327 



34,708 



8,477,734 



870,704 



86,403 



95,777 



5,578 

6,073 
(x) 

408 
909 

(x) 

(x) 

8.000 



5,118 



4,533 
(x) 



(x) 
(x) 



4,739 



7,070 



4,155 
(x) 

(^■" 



(x) 
(x) 



3,502 
3,235 

71 
39 
110 
21 
66 
15 
11 

3,222 



129,812 



35,985 

88,325 

(x) 
455 

CM 
1,151 
1,518 

(x) 

(x) 

40,520 



3,242 



1,1 

5,270 
678 
176 
295 
151 
319 
114 
150 



2,085,227 



1,625, 
99, 
20, 
22, 
68, 
18, 
15, 



561 
,515 
,844 
,967 
,587 
,798 
,229 
,579 
,147 



99,240 



6,605 
1,395 



16,035 
96,634 



40,838 
41,854 
13,942 

40,832 



131 
66 



2,725 
14,596 



125 
63 



2,517 
13,350 



2,485 
737 



1,109 
675 



6,185 
15,339 
13,842 
(x) 
(x) 

4,470 
(x) 
(x) 
(x) 

31,709 



5,354 
7,778 
1,464 

7,382 



1,415 
3,385 
1,652 

(x) 

(x) 
831 

(x) 

(x) 

(x) 

6,618 



4,731 
7,271 
1,348 

6,712 



32,042 
8,478 



27,937 
21,968 



2,762 
1,206 



77 
1,635 



481 
194 



21,516 
418 
(x) 
9,049 
(x) 

193,636 



1,262 

3,044 
1,517 

(x) 

(x) 
795 

(x) 

(x) 

(x) 

5,493 



17,162 
4,806 



20,309 



180 
146 
11 
9 
111 
12 
1 
32 



3,173 
7,174 
5,334 

(x) 

(x) 
3,689 

(x) 

(x) 

(x) 

20,259 



179 
656 

800 

3,449 



370,555 
92,048 



13,629 
1,240,752 



161,562 
(x) 

11,084 
(x) 

12,004 

101,834 



(x) 
1,846 
(x) 

20,792 



3,953 
18 
(x) 

1,437 
(x) 

12,860 



281 
19 
41 

235 
33 



645 

262 

1,094 

100 

171 

893 

68 

60 

156 

2,615 



919,221 
173,990 
147,541 

597,219 



16,463 
(x) 

3,035 
(x) 

1,084 

18,655 



9,490 
(x) 

2,418 
(x) 

928 

14,947 



100 

144 

280 

22 

2,267 



9,959 

641 
(x) 
8,571 
(x) 

21,233 



5,158 
(x) 

9,928 
(x) 

47,353 

23,540 



1,141 
218 
169 
925 
162 

3,729 



120,231 

102,733 

225,349 

3,672 

16,540 

102,485 

3,076 

3,460 

9,673 

543,770 



302,554 
35,899 
44,392 

141,422 
19,503 

1,635,379 



42,899 

4,925 

11,772 

42,238 

_(xj_ 



11,718 
(x) 

(x) 

763 

48,470 



6,914 

747 

3,001 

7,993 

_(xi_ 



1,720 
(x) 

(x) 



5,559 



5,754 

714 

2,645 

5,834 

JxL 



125 
127 
237 
87 



5,913 
(x) 

29)701 
5,540 

998 

533 
(M 

507 
(x) 
(M 
1,288 
(x) 
(x) 

567 
(x) 

973 



598 
(x) 
1,843 
1,964 
173 
132 
(M 

32 
(x) 
(M 

310 
(x) 
(x) 

63 
(x) 
158 



1,596 
(x) 

(x) 



4,654 



438 
122 



4,879 
3,493 
10,367 
4,801 

JxL 



2,053 

901 
573 
202 

2,404 

2,743 



1,268,425 
244,458 
89,425 
33,571 

222,566 

787,908 



479 
Cx) 
1,556 
1,609 
150 
85 
(M 

27 
(x) 
(M 

275 
(x) 
(x) 



(x) 



17,390 
(x) 

(x) 

2,691 

21,754 



1,319 
489 
587 
348 

1,568 



65 



28 

207 

137 

38 

44 

104 

16 

40 

96 

29 

3 

7 

4 

19 

97 



2,091 
(x) 
6,992 
3,372 
1,119 
874 
(M 

268 
(x) 
(M 

988 
(x) 
(x) 

125 
(x) 
1,532 



1,495 
73 



1,057 



2,979 



474,329 

65,909 

116,083 

131,587 

276,335 



162 

35 

620 

495 

206 

156 

146 

224 

73 

135 

137 

36 

80 

130 

43 

301 



270,411 
5,924 



96,347 
18,141 



497,358 



29,058 

3,747 

209,908 

73,635 

41,138 

12,504 
8,439 

26,814 
7,388 
4,694 

27,399 
2,722 
4,324 

16,321 
5,888 

23,379 



15, < 

78,369 

1,721 

247 

1,050 

554 

313 

163 

1,335 

16,943 



96,930 



14,581 

76,810 

1,394 

217 

982 

528 

357 

262 

1,299 

19.960 



15,656 

4,663 

6,068 

1,218 

651 

645 

188 

1,265 

303 

555 

22.399 



9,657 
7,236 



2,367 
177,347 



123,807 
29,960 
23,530 

109,595 



10,872 
9,088 



2,153 
168,329 



29,447 
22,818 
29,373 
139 
2,471 
19,184 
1,349 
2,121 
2,643 

107,313 



119,946 
28,135 
20,748 

98,801 



14,544 
7,855 



136 

2,073 



394 
1,179 



6,123 



26,236 

19,171 

27,010 

183 

2,161 

18,227 

1,245 

2,302 

2,266 

93,081 



1,184 
332 

1,903 
274 
285 
686 
545 
128 
786 

5,456 



66,263 
6,205 
7,678 

23,527 
3,640 

172,607 



58,657 
4,976 
6,670 

19,792 
2,986 

140,857 



1,410 

781 

1,075 

1,285 

905 

2,326 



131,724 
20,173 
15,892 
4,818 

8,007 

132,797 



101,254 
20,594 
14,501 
4,508 

6,900 

115,559 



194 

798 
970 
364 

11,893 

3,212 



65,045 

9,829 

27,431 

30,492 

43,387 



42,617 
770 



13,418 
2,571 



73,053 



60,518 
8,798 
23,927 
22,316 

41,403 



40,6C0 
803 



13,301 
2,192 



70,738 



537 
1,269 
1,267 

139 

1,786 



2,401 
23 
16,219 
23,486 
6,536 
3,501 

373 
2,322 

530 
1,323 
6,036 

758 

382 
3,676 
1,377 
4,100 



2,163 
26 
17,569 
22,514 
5,985 
3,113 

363 
2,455 

491 
1,210 
5,477 

548 

381 
3,438 
1,008 
3,997 



1,554 
232 



2,965 
1,582 



10,796 



163 
115 
606 

1,454 
640 
909 

1,181 
725 
295 

1,327 
4S0 
100 
64 
381 
161 

2,195 



INVENTORIES 



10.25 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS-nSTATE, BY KIND OF BUSINESS: 1948— Coa 

Stores, Sales, and Merchandise Inventories 
[See text for explanatory material] 



Kind of business 



Colorado 



Large stores and multiunits 



Stores 
(NMmber) 



Sales, 

entire 

year 

(Thtmsand 

dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



Beginning 
of year 

(Thousand 
dollaTs) 



Small single'unit stores 



Stores 
dumber) 



Sales, 
entire 
year 

{Thousand 
doiiflT^) 



Connecticut 



Large stores and multiunits 



Stores 
( Number) 



Sales, 
entire 
year 
{Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small singlemnit stores 



Stores 
(Number) 



Sales, 

entire 

year 

(Jhoujand 

dollarri 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, 6sh markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Ehiry products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

Air other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores .... 

Family clothing stores 

Women's ready'to-wcar stores 

Millinery stores 

Other apparel accessory, specialty stores . . . ; 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores .' 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home fiimishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motos vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores , 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists ; . . 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers. 
All other retail stores 



3,635 



702 



19 

556 

32 

5 

22 

iZ 

17 

2 

7 



19f 
80 



25 

102 

65 



120 
17 



132 

1 



392 
93 
54 

19 



250 
52 



177 
6 



905, 5-46 



108,524 



98,585 



11,791 



351,549 



5,708 



1,346,733 



136,718 



123,144 



20,779 



182,552 



2,685 
162,915 

4,736 
CM 

1,303 

7,827 
(M 
(x) 

1,669 

27,862 



7,326 



238 
6,763 

78 
(M 
45 
102 

(M 

(x) 
78 

922 



7,807 



22,312 
5,550 



3,642 

172,201 



120,670 
33,700 
17,831 

50,015 



513 
409 



26,238 



253 
7,249 
64 
(M 

51 
89 
(M 
(x) 

79 

1,067 



2,578 



9,368 
11,210 
18,311 
222 
Cx) 

7,630 
(x) 

2,458 
(x) 

46.414 



18,950 
5,068 
2,220 

8,685 



607 
460 



528 
24,666 



476 

1,519 

61 

56 

125 

132 

153 

18 

38 

2,442 



78,168 



1,461 
98\ 

91 

261 



8,482 
55,278 

2,040 
(M 

1,779 

3,750 
CM 
(x) 

1,019 

61,623 



1,460 



352,801 



^71 
797 
62 
15 
122 
90 
71 
13 
19 



25,571 
2,566 
(x) 
16,919 



197,143 



2,037 
2,663 
1,974 
7 
(x) 
1,519 
(x) I 

366 
(x) 

9,211 



17,975 
4,538 
2,153 

7,875 



33,663 
27,960 



2,930 
7,773 



357 
58 



28,939 
250,970 
12,488 
CM 

4,252 
46,007 

5,966 
CM 

2,263 

40,033 



13,479 



157 

104 



5,194 
540 
Cx) 

3,208 
Cx) 

20, 276 



1,829 
2,279 
1,779 
6 
Cx) 
1,482 
Cx) 

406 
Cx) 

7.954 



120 
64 

151 
24 
24 
65 
43, 

lol 

45 



4,849 
2,924 



16,340 



32 
93 
114 



36,177 
3,856 



1,271 
158,936 



1,807 
10, 270 
221 
CM 
175 
615 
144 

CM 

213 
1,381 



13,288 



162,153 
21,902 
9,100 
3,988 

24,094 

115,704 



60,596 

8,082 

14,587 

32,439 

31,088 



16,249 

1,972 

1,463 

592 

1,575 

21.859 



4,603 
424 
Cx) 

2,717 
Cx) 

16,263 



142 
48 
47 

213 
57 



4,719 
2,282 
4,478 
315 
Cx) 
2,242 
Cx)^ 

364 
Cx) 

15,865 



156 
61 

207 
25 
55 

146 

6 

29 

37 



95,764 
25,856 
37,316 

127,213 



1,182 
199 



19,191 



2,010 
9,914 
205 
CM 
177 
561 
166 

CM 

218 
1,332 



30,619 
469 



6,895 
1,367 



46,569 



10,800 
1,171 
3,518 
6,370 

3,975 



12,298 

2,039 

1,474 

452 

1,471 

19,316 



5,764 
1,543 

Cx) 
7,200 

Cx) 

20,629 



163 
48 
18 

157 
23 



25,437 

22,703 

43,665 

745 

4,416 

18,034 

1,007 

4,049 

7,157 

78,463 



10,748 
3,926 
4,517 

20,187 



1,1® 
229 



18,835 



6,445 

3,588 

4,399 

34 

505 

3,195 

119 

795 

1,107 

16,023 



10,347 
3,677 
4,811 

19,041 



119 

163 

173 

29 

1,870 



8,061 

947 

3,056 

7,252 

3,851 



58 
163 
248 
100 



7,236 

7,124 

5,337 

932 

54,324 

23,048 



454 

130 

100 

20 



41,000 
7,025 
3,312 

24,262 
2,864 

261,036 



9,379 
1,390 

500 
4,336 

418 

25,026 



5,680 

3,655 

4,265 

25 

438 

3,061 

85 

722 

1,110 

14.497 



8,771 
1,157 

481 
3,741 

347 

13,333 



6,419 

Cx) 

16,120 
6,305 
4,163 
3,935 
933 
1,658 

Cx) 

524 
2,536 

Cx)'" 
1,107 

Cx) 
1,611 



3,904 
71 

905 

193 

6,761 



509 

Cx) 

1,432 

1,784 

522 

926 

33 

104 

Cx) 

164 

692 

Cx)"" 
183 
Cx) 



3,778 
73 

393 

135 

6,759 



538 

Cx) 

1,674 

1,719 

506 

899 

31 

105 

Cx) 

129 

666 

Cx)'" 
156 
Cx) 



346 
71 



228 
1,369 



2,673 
5,650 
9,523 
5,197 

20,091 



197 
70 
96 
28 



213,934 

30,883 

13,229 

2,990 

13,312 

124,621 



17,920 
2,171 



14,437 

2,385 

33,886 



153 
11 
39 

221 
59 
95 

109 
86 
28 

186 
34 
21 
10 
19 
37 

211 



4,693 

Cx) 
4,116 
5,752 
1,294 
2,519 
2,646 
1,573 

Cx) . 
2,362 
989 
545 

Cx) 
528 

Cx) 
4,506 



181 
34 



698 



80,529 

12,691 

24,973 

6,428 

28,908 



19,662 

2,253 

2,620 

491 

1,039 

18,622 



13,523 

2,007 

2,321 

482 

923 

16,271 



216 

3 

136" 

71 

32 

21 

24 

53 

27 

13 

16 

7 

7 

15 

6 

51 



26,347 
2,561 



14,112 
1,059 



139,968 



11,407 
1,715 
4,335 
1,165 

4,131 



3,815 
316 



2,666 



14,729 



9,348 
1,637 
3,936 

850 

4,012 



56,076 

Cx) 

41,312 

12,349 
6,213 
2,930 

CM 
8,364 
1,428 
683 
2,541 
1,114 

Cx) 
1,603 
522 
2,503 



3,853 

Cx) 

2,616 

3,779 

1,159 

766 

CM 

436 

47 

251 

465 

338 

Cx) 

277 

192 

331 



3,710 
302 



2,817 



13,579 



3,404 

Cx) 

2,503 

3,541 

1,122 

717 

CM 

388 

46 

179 

442 

345 

Cx) 

232 

159 

302 



5,348 



1,581 
2,137 
471 
218 
330 
112 
296 
82 
121 

4,547 



2,574 
1,973 



302 
131 



1,506 



358 
89 

364 
75 
94 

206 
83 
47 

190 

1.041 



197 
155 
309 
252 
128 



69" 
161 
133 

48 

2,483 



49 
236 
303 

13 



612 
106 



1,353 

158 



2,146 



~2B7" 

29 

61 

194 

105 

102 

239 

220 

148 

196 

87 

20 

22 

55 

33 

348 



62C,302 



174,137 



36,005 
89,658 
17,111 
CM 
6,464 
4,386 
8,715 

(M 

4,284 
110,045 



59,186 
50,859 



11,234 



7,641 
3,593 

46,741 



12,309 
2,997 

12,816 
1,222 
2,391 
7,281 
1,064 
1,792 
4,869 

29.554 



7,532 
5,403 
4,520 
8,820 
3,279 

17,384 



4,003 
6,973 
4,740 
1,668 

76,276 

22,459 



2,420 

8,624 

10,926 

489 

34,671 



30,662 
4,009 



44,522 
1,914 



58,373 



12,14J 

Cx) 
2,798 
5,692 
3,109 
2,363 

CM 
5,128 
4,311 
2,673 
2,229 
672 

Cx) 
2,116 
875 
7,743 



See footnotes at end of table. 



10.26 



RETAIL TRADE— GENERAL STATISTICS 



TaUc lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

Storks, Saus, and Mbkchandibe Invintoriss 
(See text for explanatory material] 



Kind of business 



Delaware 



Large stores and multiunits 



Stores 



Qjumber) 



Sales, 
entire 
year 
{Thousdnd 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 
dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small singlc'unit stores 



Stores 



(J^umber) 



Sales, 

entire 

year 

{Thousand 

dollars) 



District of Columbia 



Large stores and multiunits 



Stores 



(Number) 



Sales, 
entire 
year 
(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 

dollars) . 



Beginning 
of year 

(Thousand 
dollars) 



Small singlenmit stores 



Stores 
(Number) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

/3r other food stores 

I 
Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores ..... 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group. 

Furniture stores 

Floor covering, drapery stores 

Other home mmishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers ........ 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline sei:vlce stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

%)orting goods stores, bicycle stores 

Rorists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores .' 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers. , 
All other retail stores 



1,042 



212 



37 
112 
20 
2 
U- 
19 

5 
2 



21 

1 
121 

11 

5 

7 
23 
5 
5 
2 



291,^15 



25,052 



22,010 



3,391 



90,890 



2,748 



951,722 



89,025 



85,715 



46.296 



3,143 
31,824 
3,360 
(x) 

734 
5,906 
{^) 

374 
U) 

5,543 
4,572 



1,596 



169 
1,203 

77 

Cx) 

35 
50 

(M 
10 

(x) 

183 

W 



1.532 



195 

1,155 

50 

(x) 

39 

40 

CM 

6 
(x) 

176 



1.063 



256 
505 
4d' 
81 
84 
14 
41 
22 
20 



25.912 



603 



17,642 



9,173 
2,173 
6,296 

22,666 



1,588 



3,625 
5,025 
9,710 

(x) 
1,001 
2,497 

Cx) 

(x)'" 
18,034 



513 
388 
687 

3,053 



1,586 



200 



3,374 
17,198 
1,346 
(x) 
833 
752 
(M 

87 
Cx) 

14,631 



13 
352 
25 
5 
94 
66 
17 
15 
16 



Cx) 



773 
643 
987 

59 
460 



590 
322 
674 

2,979 



8,807 
5,824 

1,164 

1,627 



"37r 

21 



169,476 

c-y 

139,744 
3,700 
CM 
5,114 
13,440 
1,622 
■ 1,628 
2,525 

63,384 



4,627 



Cx) 



759 
961 

43 
439 



188 



960 
667 



5,135 



8,415 
1,101 
581 
6,623 
1,314 

56,582 



Cx) 

Cx)'" 
2,941 



Cx) 

Cx)"" 
2,599 



l,ii9 
639 
842 

Cx) 
353 
748 

Cx) 

Cx) 

Cx) 

It, 121, 



11 
21 
45 

378 
""37" 



61,572 
1,812 



182,086 



3,965 

86 

CM 

208 

91 

39 

24 

128 

1,436 



TO 
4,019 
2,454 
Cx) 

4,188 
23,564 



1,401 
106 
86 

1,138 
210 

5,568 



"W 



1,353 

68 

66 

944 

168 

3,951 



259 
602 



"GO 



14,070 
1,861 
4,970 
2,663 

5,357 



Cx) 



3,729 



243 
437 



2,381 
288 
731 
329 

694 



Cx) 



3,047 



1,239 
343 
572 

1,756 
814 

2,265 



156,758 
4,849 
20,479 

105,692 

18,741 

18,925 

38,070 

822 

2,843 

17,668 

1,695 

4,557 

2,371 

48,910 



1,354 
82 



20,753 



4,844 

"F) 

4,130 

83 

CM 

220 

94 

56 

32 

124 

1,662 



1,814 
324 
660 
249 

582 



15) 

377 
790 
Cx) 

12,194 

4,355 



174 
81 



19,911 
4,701 
4,844 
9,716 
9,738 

138.876 

~G0~~ 

22,148 

7,800 

Cx) 

24,272 



17,778 

871 

2,104 

13,897 

3,982 

2,261 

3,380 

31 

445 

2,516 

346 

660 

276 

7,563 



1,580 
82 



21,488 



18,537 
1,090 
1,861 

12,330 



3,657 

1,751 

2,984 

23 

412 

2,315 

264 

685 

239 

7,293 



4,639 
718 



4,227 



583 
1,099 
2,081 

592 

3,397 



610 
84 



506 
76 



2,901 
496 



6,914 



193 
5 



20,280 
3,658 
6,001 



46,163 



3,464 

1,367 

606 

981 

1,145 

10,717 

"GO — 

1,269 
998 
Cx) 



4,580 



3,375 

1,284 

565 

958 

1,111 

8,063 



Cx) 
Jxl. 



15,310 
Cx) 

53,954 
1,780 

850 
Cx) 

419 
11,488 

330 
CM 
Cx) 



Cx) 



Cx) 
Cx) 



780 

Cx) 

2,585 

581 

212 

Cx) 

5 
343 
16 
CM 
Cx) 



Cx) 



Cx) 
Cx) 



720 

Cx) 

2,626 

563 

166 

Cx) 

■ 5 

239 

lA 

CM- 

Cx) 



Cx) 



305 

31 

14 

27 

33 

16 

11 

26 

35 

21 

33 

6 

2 

3 

6 

4 

37 



Cx) 
Jxl. 



960 
Cx) 
1,483 

1,076 
271 

Cx) 

443 

1,192 

659 

CM 

Cx) 

Cx) 

Cx) 

Cx) 
137 
666 



45,757 
426 



64,489 
3,052 
75,363 



2,684 

625 

1,271 



5,395 



1,210 
917 
Cx) 



3,929 



28,846 

Cx) 
1,172 

12,639 
9,256 
2,933 
2,502 
5,799 
710 
607 
4,390 

Cx) 
1,051 
2,165 

Cx) 
992 



5,344 
51 



8,155 



10, '448 



2,223 

497 

1,209 



5,341 



5,290 
51 

9,404- 

454 

10,034 



2,054 

Cx) 

241 

3,576 

1,07? 

663 

76 

350 

22 

176 

1,229 

Cx) 

164 

327 

Cx) 

142 



1,952 

Cx) 

254 

3,522 

1,193 

505 

76 

312 

21 

226 

1,052 

Cx) 

139 

329 

Cx) 

137 



4,346 



1,353 



242 

691 

81 

54 

56 

8 

61 

11 

149 



"^5T 
113 



415 
""35" 



34 
123 
37 
23 
36 
36 
7 
34 



2 
33 
11 

9 

255 
100 



106 



See footnotes at end of table. 



INVENTORIES 



10.27 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNIT^-STATE, BY KIND OF BUSINESS: 1948— Coa 

Storis, Sales, and Mbkchandibii Inventokiu 
|Set tent for eiplaiatory natoul) 



Kind of biuineu 



Florida 



Large stores and multiunits 



(Number) 



Sales, 
entire 
year 
(Tiunuand 
dolhiTs) 



Merchandise inventories, 
at cost 



End of year 

(Thouidnd 

dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small singk'unit stores 



Stores 
(Number) 



Sales, 
entire 
year 

{Thousand 
dollars) 



Georgia 



Large stores and multiunits 



Stores 

(Number) 



Sales, 
entire 
year 

{Thousand 
dolldrs) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small singlcAjnit stares 



Stores 
(Number) 



Siks. 

entire 

year 

CDiouMrui 

dollars) 



State, total. 



Food group 

Grocery stores, without fresh meat. 
Grocery stores, with fresh meat . . . . 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, coruectionery stores. . . 
Dairy products stores, milk dealers . 

Bakery products stores 

Egg, poultry dealers 

Air other food stores 



Eating and drinking places. 

Eating places 

Drinking places 



General stores . 



General merchandise group 

DcpartEEicnt stores 

Dry goods, general merchandise stores. 
Variety stores ._ 



Apparel group 

Men's, boys'" clothing,. furnishings stores . 

Family clothing stores ^ 

Women's ready 'to-wcar stores 

Millinery stores 

Other apparel accessory, specialty stores . 

Shoe stores , 

Custom tailors 

Furriers, fur shops 

All other apparel stores 



Furniture, furnishings, appliance group. 

Furniture stores 

Floor covering, drapery stores 

Other home fttmishing stores 

Household appliance stores 

Radio stares 



Automotive group 

Motor vehicle (new and used) dealers. 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 



Gasoline service stations 

Lumber, building, hardware group. 

Lumber yards, building materials dealers . 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 



Drug and proprietary stores. 

Drug stores 

Proprietary stores 



Liquor stores 

Second-hand stores. 



Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stares 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores. 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers. 
All other retail stores 



7.551 



1.648,230 



178.316 



152.492 



27.839 



692.165 



7.281 



1.458,695 



157.649 



141.075 



28,374 



1,482 



104 
1,144 
44 
49 
50 
36 
35 
14 
6 

837 



566 
271 



34 
179 
213 



181 

119 

,319 

U 

31 

164 

3 

1 

44 



276 
39 
47 

207 
13 



534 
218 
136 
43 



278 
84' 

180 
53 



293 
31 



62 
30 
176 
106 
32 
15 
32 
31 
12 
40 
28 
10 
8 
27 
10 
41 



365.247 



10,512 

327,873 

4,936 

2,813 

1,260 

11,596 

(^) 
1,938 

(1) 

89,004 



14.394 



538 
12,962 
158 
212 
U2 
223 
(^) 

19 
("■) 

3,275 



13,249 



7,384 



70,088 
18,916 



5,895 
223,389 



119,284 
52,882 
51,223 

134,434 



1,752 
1,523 



30,994 



545 

11,884 

138 

195 

78 

229 

(M 

16 
(M 

3,237 



24,262 

21;415 

61,733 

434 

1,839 
22,585 
(x) 
(x) 

1,776 

94,431 



15,397 
8,148 
6,949 

24,134 



1,520 
1,717 



26,983 



1,789 

4,122 

392 

329 

263 

19 

274 

113 

83 

7,390 



175,881 



4,230 
3,160 



21,878 
126,044 
8,201 
5,823 
1,997 
475 
{'■) 
2,957 
(M 

129,662 



1,376 



258,220 



10,993 



10,569 



160 

1,032 

35 

7 

65 

41 

16 

13 

7 

550 



13,717 
6,720 
6,546 

21,120 



78,793 
50,364 

5,847 



427 
123 



83 
607 



12,219 
225,604 

3,228 
(M 

2,294 

9,516 
(') 
(M 

2,304 

36,984 



32,921 
4,063 



11,839 



9,555 
85 
(M 
126 

104 
(M 
(M 

190 

1,231 



346 
184 



48,012 
6,782 
6,973 

31,922 
737 

346,522 



6,524 

4,705 

7,985 

29 

258 

4,097 

(x) 

(x) 

453 

16,121 



261,077 

54,185 

23,397 

7,863 

35,159 

159.974 



9,437 
1,023 

904 
4,623 

134 

34.645 



4,940 

4,594 

6,963 

30 

269 

3,373 

(x) 

(x) 

336 

13.306 



98,537 
12,224 
34,713 
14,500 

61,940 



24,559 
4,784 
3,819 
1,483 

1,771 

25,394 



8,234 
889 
773 

3,812 
93 

25,889 



280 

242 

491 

57 

94 

171 

73 

2 

145 

1,190 



10,326 
3,937 

48,314 



47 
274 
236 



410 
142 
215 
330 
93 



10,768 
8,595 

15,198 

771 

1,995 

5,582 

(x) 

(x) 
4,162 

40,060 



103 

169 

210 

25 

12 

98 

1 

2 

15 



137,538 
48,423 
48,035 

110,929 



1,022 
209 



1,943 
39,334 



843 
9,272 
31 
(M 
124 
72 
(M 
(M 
134 

1,306 



12,013 



60,609 
1,331 



29,062 

1,373 

100.800 



12,743 
2,491 
7,708 
2,452 

7,819 



16,708 
4,555 
3,248 
1,378 

1,536 

20.606 



12,052 
4,576 

43,278 

13,917 
4,590 
^192 
i',996 
5,207 

(^) 
1,173 
4,100 
' 613 

(^) 
2,152 
1,702 
2,348 



7,649 

170 



3,384 



14,709 



10,058 
1,653 
6,909 
1,986 

7,417 



98 
211 
223 
120 

3,483 

373 



15,975 
4,648 
3,874 

13,236 
2,327 

26,933 



134 

245 

463 

31 



5,423 
9,055 
8,134 
4,321 

98,092 

31.061 



313 
7 
24 

280 
4 

1,066 



20,102 

34,307 

37,736 
950 
741 

15,542 

(x) 

(x) 

(x) 

33,054 



23,467 
9,337 
7,080 

17,111 



1,106 
200 



1,330 
37,737 



707 

163 

184 

12 



49,018 
(x) 
4,209 
27,198 
(x) 

349,968 



3,945 
6,423 
4,053 
37 
69 
2,201 
(x) 
(x) 
(x) 

13,565 



22,328 
3,524 
6,885 

14,698 



3,455 
(x) 
546 

4,119 
(x) 

32.439 



3,005 
5,682 
3,684 
30 
64 
1,922 
(x) 
(x) 
(x) 

12,168 



1,399 

147 

3,564 

5,241 

938 

574 

90 

404 

(M 

362 

597 

186 

(.'■) 

408 

406 

343 



7,276 
141 



13,701 



1,108 

124 

3,656 

4,869 

897 

510 

85 

380 

(^) 

320 

554 

187 

(^) 

321 

341 

298 



473 
469 



2,632 



5,619 
3,214 
16,086 
1,142 

33,047 



173 

57 

197 

175 



277,902 

45,325 

23,624 

2,617 

31,134 

122.680 



73 

23 

218 

322 

35 

242 

264 

146 

115 

461 

90 

25 

35 

64 

53 

416 



22,518 
10,529 

26,032 

5,499 

57.424 



49,076 

6,616 

36,180 

30,303 

36,195 



25,332 

2,533 

4,091 

378 

1,362 

19,973 



7,570 
(x) 
521 

3,602 
(x) 

27,757 



13,186 

1,839 

7,455 

277 

1,539 

16,051 



5,708 
1,117 
7,629 
5,519 

4,120 



265 
13 



2,491 
330 
8,579 
8,499 
2,093 
4,953 
4,242 
2,110 
(') 
5,416 
1,921 
727 

C-) 

1,399 
1,700 
9,057 



81 

52 

251 

106 

20 

17 

21 

15 

7 

9 

23 

4 

9 

6 

7 

22 



35,669 
526 



29,943 
1,646 



102,057 



IT) 
(x) 
47,055 
15,621 
5,047 
2,474 
(M 
1,817 
324 
(M 
2,237 
(x) 
916 
768 
2,947 
1,144 



4,058 
52 

3,014 

441 

11,068 



4,390 

959 

6,689 

4,013 

3,726 



1=0 
(x) 
2,892 
4,495 
495 
551 
("■) 

94 
58 
(M 

320 

(x) 

62 

66 

392 

160 



3,693 
33 

3,400 

433 

9,861 



U) 

2,757 

3,741 

467 

535 

(M 

88 

57 

(^) 

258 

(x) 

62 

47 

447 

176 



5,628 

5,297 

264 

192 

410 

26 

115 

58 

28 

4,708 



3,726 
932 



507 
175 



151 
255 
233 
48 
33 
98 
36 



482 
40 
92 

256 
36 



156 
180 
324 
34 

3,708 

786 



142 
121 
421 
102 



■"680" 
135 



1,587 



175 
24 

287 

250 
43 
54 

238 
38 
34 
92 
63 
6 
24 
13 
35 

2U 



652.844 



222,965 



54,972 

150,145 

6,676 

(') 

1,894 

686 

(M 

990 

70,962 



55,825 
15,136 



23,065 
22,911 



18,379 
4,532 



33,223 



6,677 

10,860 

7,819 

852 

1,039 

3,615 

(x) 

(x) ■■■ 
31,263 



18,174 

(x) 
1,509 
9,579 

(x) 

30,543 



9,553 

7,780 

11,929 

1,281 

89,161 

33,566 



6,389 

4,114 

17,504 

5,559 

33,222 



29,876 
3,346 

16,046 

4,108 

41,309 



(x) 
(x) 
10,594 
6,870 
1,162 
1,326 
(M 
677 
803 
("■) 
1,562 
(x) 

798 

554 

1,239 

4,667 



See footnotes at end of table. 



10.28 



RETAIL TRADE-GENERAL STATISTICS 



Table lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

Stors&, Sales, and Merchandise Inventories 
[Sec text for explanatory material] 



Kind of business 



Idaho 



Large stores and multiunits 



Stores 
(Number) 



Sales, 
entire 
year 
(Tliousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thottsand 
dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small single'unit stores- 



Stores 
(Number) 



Sales, 

entire 

year 

(Thousand 

dollars) 



Illinois 



Large stores and Eoultiunits 



Q^-umher) 



Sales, 
entire 
year 
(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 

dollars) 



Beginning 
or year 

(Thousand 
dollars) 



Small single'unit stores 



Stores 
Wumbtr) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Frxiit stores, vegetable markets 

Candy, nut, confectionery stores 

Dair>' products stores, milk dealers 

Baker>' products stores 

Egg. poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys* clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group. 

Furniture stores 

Floor covering, drapery stores 

Other home njmishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumberyards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores ; 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers . . 
All other retail stores 

See footnotes at end of table. 



2,127 



355 



30 

293 

18 



265 
25 
35 
3 



U7 
23 
60 

158 



112 
6 



"U7,3g2 



51,758 



■42,622 



5,1% 



16^4,462 



6,426,659 



612,329 



3,105 



75.861 



5,203 
63,921 

3,108 

(x)'" 
2,409 
(x) 
(x) 



11,199 



3,875 



324 
3,413 

79 

(x)'" 
32 
(x) 
(x) 



3.546 



1,082 



288 

3,112 

97 

(x)'" 
20 
Cx) 
(x) 



6,544 
4,655 



7,687 
56,121 



278 
621 
41 
10 
60 
24 
40 
2 



1,577 



39,437 



1,271 
8.884 



31,267 
17,967 
6,887 

14.552 



5,254 

2,050 

4,842 

175 

(x) 
2,005 

(x) 

(x) 

(x) 

19.866 



4,941 
2,860 
1,083 

2.870 



139 

154 

1,185 
7,759 



630 
897 



7,244 
26,549 
2,004 
68 
(x) 
1,179 
(x) 
(x) 
116 

35,997 



5,425 



44,751 



43,666 



21,902 



709 
3,248 
528 
41 
351 
228 
225 
47 
48 

2,186 



92,629 
918,313 
72,902 
4,020 
27,868 
86,019 
19,701 
5,667 
10,692 

287.235 



4,817 

35,907 

1,137 

99 

890 

771 

352 

81 

697 

IQ.llQ 



4,353 
2,522 
884 



16,714 
19,283 



2,423 
3,333 



1,540 
646 



1,109 



5,259 
34,278 

1,104 
103 
975 
727 
386 
111 
723 

10.963 



5,641 
9,358 
1,513 

454 
2,009 

490 
1,340 

281 

816 

22,437 



228,222 
59,013 

9,113 



5,738 
4,372 



1,585 
184.955 



1,873 
1,460 



5.87 6 



182 
437 
490 



1,204,376 
124,866 
120,302 

560.168 



151,108 
19,173 
14,674 

80.831 



6,335 
4,628 

1,428 

181.348 



1,463 
472 

517 
8 
(x) 

369 
(x) 
(x) 
(x) 

3.539 



10,803 
M 
(x) 

8,766 
(x) . 

97,905 



2,306 
(x) 
(x) 

»a,i79 

(x5 

9,810 



1,227 

449 

505 

8 

(x) 

366 
(x) 
(x) 
(x) 

2,953 



1,340 
424 
2,067 
115 
(x) 
1,068 
(x) 
(x) 
(x) 

7 7«n 



586 
261 
768 
138 
184 
637 
49 
75 



112,163 
125,212 
181,795 
4,472 
20,490 
80,126 
7,827 
22,980 
5,103 



23,063 
16,738 
13,637 
193 
2,095 
14,418 
1,070 
3,679 
888 

55,762 



149,951 
17,502 
13,895 

71.274 



1,938 
(x) 
(x) 

975 
(x) 

7,746 



85,594 
(x) 

5,507 
(x) 

9,903 

84.310 



8,118 
(x) 

1,138 
(x) 

588 
15.515 



31,907 
4,119 
10,011 
38,273 

7,301 



7,301 

(x) 
(x) 
21,866 



5,602 

713 

2,416 

6,784 

1,302 



6,188 
(x) 

1,147 
(x) 

509 

11,462 



2,951 
(x) 
(x) 

3,671 
(xi 

9,143 



657 
138 



580 
92 



2,854 



4,837 
(x) 

2,086 
(x) 

26,165 

12,226 



2,047 

408 

329 

70 

1,106 

2,534 



158,543 
29,290 
13,968 
88,491 
22,640 

1,184,898 



31,629 
6,895 

1,467 
13,182 
2,589 

106,258 



1,002,165 
123,624 
43,968 
15,141 

134,583 

551,300 



86,491 
9,145 
8,366 
2,256 

7,293 

96,611 



1,302 

(x) 
(x) 
2.907 



4,227 
667 
1,994 

4,574 

1,171 



36 
62 

118 
47 



1,969 
2,394 
5,256 
2,607 

7,727 



,079 
292 
398 

765 



1,171 

(x) 
(x) 
2,459 



131 
22 



2,421 

(x) 
12,461 

l,78g 
(x) 

782 
(x) 

260 
(x) 
(x) 

1,324 

(x)'" 
(x) 

1,135 
320 



163 

(x) 
1,162 

716 
(x) 

208 
(x) 

23 
(x) 
M 

242 



(x) 



138 



(x) 

1 
(x) 



(x) 
(x) 



963 
561 



(x) 
(x) 



(x) 

Cx) 



189 
34 



126 
43 



6,821 
906 

(x) 

(x) 

13,374 



814 
47 



289,592 

38,690 
79,975 
143,043 

156,907 



148,819 
8,088 



90,617 
4,428 



447,123 



46,918 
6,471 
16,749 
26,473 

18,766 



17,967 
799 

11,762 

794 

57,594 



2,184 
(x) 
1,844 
2,663 
(x) 
1,534 
(x) 

181 
(x) 
(x) 
504 
70 
(x) 
(x) 
487 
818 



517 
22 
357 
322 
125 
57 
116 
215 
82 
34 
82 
13 
42 
56 
21 
140 



165,186 

2,661 

82,395 

54,262 

35,214 

12,284 

9,151 

17,381 

7,902 

3,390 

19,343 

1,634 

2,659 

10,796 

2,777 

20.088 



13,797 
66 

7,219 
16,414 

4,611 

2,661 
369 

1,417 
322 
536 

4,351 
370 
374 

1,894 
596 

2.597 



18,665 
15,314 
16,937 
179 
1,852 
13,017 
1,011 
3,494 
805 

47.352 



28,234 
4,840 
1,315 

10,604 
2,359 

92,048 



76,025 
6,963 
7,090 
1,970 

5,901 

76,875 



36,989 

5,548 

14,945 

19,393 

18,337 



17,642 
695 



13,274 



583 



49,280 



9,854 
29 

6,468 
14,519 

4,415 

2,457 
305 

1,198 
314 
491 

3,940 
312 
374 

1,589 
550 

2,465 



8,733 
13,704 



308 
.1,417 



872 
545 



5.020 



976 
307 
1,135 
386 
504 
747 
337 
186 
44-2 

3.071 



723 
347 
574 
1,016 
411 

1,788 



462 
448 
708 
170 

8,058 

3,662 



348 
1,071 
1,752 

491 

2,433 



2,113 
320 



1,464 



735 



7,810 



859 
138 
638 
1,044 
402 
430 
895 
577 
340 
800 
326 
79 
36 
140 
120 
986 



INVENTORIES 



10.29 



Table lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS-^TATE, BY KIND OF BUSINESS: 1948— Coa 

Storbs, Saus, and Mbrchandub Inventories 

[S« text for explanatory material] 



Kind of buaineas 



Stores 



. (Humbcr) 



Large stores and multiunits 



Sales, 
entire 
year 
(Thousand 
dollars) 



Merchandise inventories, 

at cost 



End of year 

(Tliousarid 

dolldrs) 



Beginning 
of year 

(Thousand 
dolldTs) 



Small single'unit stores 



Stores 
(T^umbcr) 



Sales, 

entire 

year 

{Thousand 

doltfirs) 



Io\wa 



Large stores and multiunits 



(J^umber) 



Sales, 
entire 
year 

(Thousand 
doll fi Ts) 



Merchandise inventories, 

at cost 



End of year 

(Thousand 

dollars) 



Beginning 
of year 

(Thousar\d 
dollaTs) 



Small single-unit stores 



Stores 
(Humbcr) 



Sales, 

entire 

year 

(JJlousand 

dollgTs) 



State, total 

iTood group 

Grocery stores, without fresh meat 

Grxx^ry stores, with fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

r^iry products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

Air other food stores 

Eating anfl drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's readyto-wear stores 

Millinery stores '. 

Other apparel accessory, specialty stores 

Shoe stores 

Custom tailors 

Furriers, fur shops ■. 

All other apparel stores 

Ftimiture, furnishings, appliance group. 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers . . 
All other retail stores 



10,289 



2,-^59,229 



267,55^ 



231,639 



34,^65 



1,073,108 



8,698 



1,772,172 



183,085 



25,027 



2,015 



101 
1,573 
83 
22 
75 
88 
37 
15 



512 
138 



9i, 

177 
277 



187 

119 

312 

33 

25 

260 

7 

11 

19 



386 
38 
25 

310 

17 

i.eM. 



1,U7 

210 

230 

54 

523 



609 
163 
246 
409 



399 

17 



1.175 



260 

11 

469 

125 

37 

26 

11 

52 

20 

11 

30 

7 

6 

26 

7 

77 



477,229 



14,377 
392,673 

17,955 
2,051 
4,378 

31,822 

(x) 

(x) 
7,952 

57,537 



17,859 



832" 

15,328 

251 

48 

217 

546 

(x) 

(x) 

483 

1,701 



17,801 



45,215 
12,322 



5,546 
395.868 



910 
791 



961 

49,960 



792 
15,334 

266 
36 

194 

481 
(x) 
(x) 

541 

1.834 



9,547 



279,124 
47,243 
69,501 

183.843 



33^548 
7,654 
8,758 



939 
895 



49,719 



l,4lS 
6,499 
218 
278 
472 
126 
324 
119 
93 

7,37; 



304,742 



25,098 
240,141 
9,184 
4,859 
6,359 
4,683 

(x) 

(x) 
2,071 

198,034 



1,493 



•291,407 



145 
1,141 
46 
3 
4A 
77 
20 
4 
13 



15,082 
245,560 

6,630 
(x) 

1,567 
15,332 
(M 
(x) 

4,188 

23.901 



13,564 



1,179 
11,545 
122 
(x) 

66 
219 
(M 
(x) 
338 

689 



14,043 



1,177 
11,980 
122- 
(x) 

56 
221 
(') 
(x) 



4,512 
2,861 



97,280 
100,754 



11,193 
19,530 



281 
87 



53 
453 



38,220 

28,194 

77,696 

1,102 

3,783 

28,099 

(x) 

3,575 

Cx) 

132,786 



7,299 

4,195 

6,515 

68 

319 
5,011 
(x) 

301 
(x) 

25,941 



35,061 
6,750 
7,908 

21 ,679 



361 

279 



11,864 
7,666 



49,397 



65 
227 

161 



19,733 
4,168 



8,473 
227.183 



568 

121 



1,538 
31,663 



619 

112 



1,448 
27,682 



6,336 
3,697 
6,046 
51 
218 
4,614 
(x) 

366 
(x) 

22,048 



346 
114 
351 
102 
72 
243 
83 
29 
124 



82,619 
6,889 
5,868 

35,592 

1,818 

543.715 



448^866 
54,790 
28,606 
11,453 

50,966 

290,496 



18,524 
1,373 

368 
5,356 

320 

53.266 



139,872 
19,863 
54,463 
76,298 

67.293 



41,659 
3,887 
6,350 
1,370 

2,415 

55,877 



16,332 

901 

309 

4,199 

307 

39,576 



65,976 
1,317 



5,198 
1,849 



246.903 



25,168 
5,611 
10,978 
14,120 

3.401 



30,185 
2,950 
5,238 
1,203 

1,982 

4^.486 



414 
112 
187 
708 
147 

1,078 



14,806 
4,210 

12,066 
1,074 
1,548 
9,817 

(x) 
1,239 

(x) 

50,882 



173 

36 

211 

27 

10 

121 

2 

19 

4 



141,655 
52,683 
32,845 

99,423 



29,294 

15,367 

37,489 

621 

530 

13,385 

(x) 

2,549 

(xi 

76,519 



19,908 
7,437 
4,318 

16,092 



6,644 
1,997 
4,040 
24 
36 
2,724 
Cx) 

593 
(x) 

16,260 



16,782 
6,855 
4,045 

14,461 



20,599 
3,841 
9,935 

10,111 

8.144 



261 
247 
416 

154 

5,222 
1.836 



17,258 
4,022 
2,894 

24,093 
2,615 

4^.491 



237 
19 

11 
276 
11 

1.332 



8,192 
209 

584 

319 
26.096 



43,619 

(x) 
140,439 

20,593 
8,113 
4,563 

("■) 
8,527 
1,697 
323 
4,225 
1,147 

(x) 
3,946 
1,568 
4,224 



3,474 

(x) 
10,389 

6,201 

1,535 

1,030 

(*) 
315 
127 
235 
799 
263 

(x) 
638 
227 
695 



7,946 
198 



22.584 



237 
520 
792 

287 

1.042 



15,920 
10,318 
13,352 
4,901 

157,175 

71.088 



11,202 
15,433 
28,949 

15,504 

47.059 



,049 

122 

136 

25 



2.137 



45,363 
2,638 
2,417 

24,881 

1,220 

3 88.236 



936 
127 
254 
820 



332,723 
33,957 
16,919 
4,637 

42,628 

362,782 



10,583 

553 

82 

4,750 

292 

39.493 



5,594 
1,835 
3,819 
27 
29 
2,505 
(x) 

621 
Cx) 

13,520 



160,563 
17,373 
41,911 

142,935 

30.399 



32,502 

2,449 

3,963 

579 

2,892 

67.308 



8,726 
369 
95 

4,074 
256 

3 0.133 



24,030 

2,310 

3,379 

414 

2,563 

52.592 



31,960 
2,641 
8,785 

23,922 

3,993 



25,021 
2,302 
7,469 

17,800 

3,829 



■816 
226 



2,442 

(x) 

9,276 

5,421 

1,467 

977 

C') 

330 

115 

173 

708 

225 

Cx) 

589 

170 

575 



537 

86 

374 

452 

72 

215 

298 

296 

95 

168 

148 

9 

19 

48 

69 

426 



40,156 
6,903 

20,630 

3,641 

95.246 



160 
20 



27,118 
3,281 



40,116 
1,048 



180.057 



23,936 

Cx) 

15,039 

13,672 
1,937 
5,450 

C^) 
5,327 
2,306 
2,014 
3,405 
223 

Cx) 
1,722 
2,123 
9,034 



107 
13 

454 
68 
26 
11 
18 
53 
4 
2 
33 

'il 

7 
6 

47 



21,351 
509 
126,238 
8,015 
8,183 
2,534 
1,804 
2,595 

Cx) 

Cx) 
3/626 

Cx)'" 
885 
CM 
2 ,873 



3,648 
345 



3,464 



19.588 



2,025 

38 

11,459 

2,478 

1,288 

559 

43 

159 

Cx) 

Cx) 

729 

Cx)"' 

217 

CM 



3,518 

311 



17.912 



1,471 

19 

11,209 

2,085 

1,200 

466 

27 

167 

(x) 

Cx) 

586 

Cx)"' 
187 
CM 



5,085 



1,115 

2,964 

192 

53 

252 

160 

268 

56 

25 

6,022 



3,198 
2,824 



317 
289 

1,078 



297 
93 

230 
39 
31 

262 
44 
12 
70 

1,230 



342 

58 

84 

579 

167 



329 

109 

448 

57 

4,083 

2,459 



187 

676 

1,033 

563 

912 



696 

216 



2.209 



267 

48 

517 

377 

49 

113 

103 

117 

38 

103 

83 

26 

8 

37 

64 

259 



183,449 



30,506 
125,482 
6,356 
Cx) 
3,842 
5,853 
CM 
Cx) 
424 

141,694 



74,451 
67,243 



11,334 

9,058 



38,004 
13,172 
3,095 
8,390 
424 
862 
8,805 
Cx) 

571 
Cx) 



38,993 



14,4H{ 
1,606 
1,325 

19,263 
2,381 

36.768 



18,574 
4,853 

11,306 
2,035 

110,394 

102,109 



9,940 
21,732 
39,465 
30,972 

35,641 



28,368 
7,273 

305 

3,054 

67,016 



10,534 
532 

20,218 

10,443 
1,336 
2,956 
3,170 
.2,915 

Cx) 

Cx) 
2,654 

Cx) 

(x) 
1,158 

CM 
5,402 



See footnotes at end of table. 



10.30 



RETAIL TRADE-GENERAL STATISTICS 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

StOUS, SaUS, and MERCHANDISIi InVBNTOKIIS 

[See text for explanatory matciial} 



Kind of business 



Large stores and multiunits 



Stores 

dumber) 



Sales, 
entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 
dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small single'Unit stores 



Stores 
(Number) 



Sales, 

entire 

year 

{Thousand 

dollars) 



Kentucky 



Large stores and multiunits 



Stores 
(>^UTnbcr) 



Sales, 
entire 
year 
{Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 
dollars) 



Beginning 
of year 

{Thousand 
dollars) 



Small single-unit stores 



Stores 
(Number) 



State, total 

Food group 

Grt3ccry stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, 6sh markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

E^iry products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

/w other food stores 

Eating and drinking placee 

Eating places 

E>rinking places 

G«neral stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group. 

Furniture stores 

Floor coverii^, drapery stores 

Other home mmishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

Ail other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building mateiiab dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers ' 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sportmg goods stores, bicycle stores 

IHorists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores , . 

Camera, photographic supply stores 

Office, store machine ana equipment dealers . . 
All other retail stores 

See footnotes at end of table. 



5,S12 



1,058 



30 
928 
9 
1 
14 
55 
9 
7 
5 



42 



""46 
181 
166 



~"g7 

73 

128 

15 

9 

99 

2 

3 

3 



157 

10 

7 

266 



322 
72 
143 



376 
1,251 



557 
76 
117 
501 



162 
6 



20 
382 



44 
11 
154 
45 
22 



1,127,208 



144,224 



120,386 



19,785 



562,188 



5,076 



1,090,330 



118,357 



99,823 



24,814 



220,269 



3,175 
207,355 

1,151 
(x) 
(x) 

4,834 
(M 
(M 
Cx) 

14,325 



217 
9,698 
13 
(x) 
Cx) 

71 
(^) 
(1) 
(x) 



239 
9,715 
12 
(x) 
(x) 

50 

{'y 

(x) 



3,968 



506 

2,878 

50 

42 

165 
75 

166 
57 
29 

4,600 



133,225 



13,190 
1,135 



2,374 
138,188 



22? 
31 



209 
26 



2,727 
1,873 



10,003 
110,321 

1,857 
Cx) 
Cx) 

2,512 
CI) 
CM 
Cx) 

83,382 



69,752 
40,746 
27,690 

61,842 



13,022 
18,612 
19,789 
398 
859 
8,510 
Cx) 
Cx) 
Cx) 

58,037 



9,884 
5,971 
4,091 

10,659 



2,814: 
3,362' 
2,5001 

50 
1,794 
Cx) 
Cx) 
Cx) 

11,893 



9,724 
5,287 
3,784 

a, 947 



52,649 
30,733 

4,477 

11,002 



226 
170 



27,657 
Cx) 

977 
27,591 
Cx) 

309,476 



6,808 
Cx) 
53 

4,749 
Cx) 

34,558 



269,333 
16,748 
18,170 
5,225 

33,146 

208,638 



23,919 

1,159 

3,713 

767 

2,520 

43.331 



87,083 
11, U2 
18,481 
91,932 

23,183 



19,739 
1,800 
4,440 

17,352 

3,340 



22,990 
198 



1,026 
56,699 



3,305 
35 



97 
7,035 



5,461 
904 
29,964 
6,413 
3,612 
1,459 
CM 

703 
CM 
633 
3,425 
Cx) 

736 
1,014 
1,608 



487 

41 

2,118 

1,976 

743 

349 

CM 

36 
CM 
144 
638 
Cx) 

135 
144 
195 



"T723 

2,746 
2,070 
17 
44 
1,569 
Cx) 
Cx) 
Cx) 

10,339 



6,215 
Cx) 

60 

3,785 
Cx) 

26,077 



206 
93 

233 
27 
13 

113 
29 
4 
58 

1,011 



6,920 
4,082 



26,362 



21,481 

804 

3,282 

510 

2,199 
34,110 



329 
50 
52 

516 
64 

1,053 



8,618 
3,659 
7,354 
284 
246 
4,549 
Cx) 
Cx) 
Cx) 

33,570 



15,915 
1,606 
3,951 

12,638 

3,081 



245 

235 

491 

32 

3,316 

1,719 



12,583 
Cx) 

746 
18,237 
Cx) 

39,394 



249 

452 
613 
405 



14,742 
8,634 

13,968 
2,000 

^,930 

65,384 



10,834 
13,327 
19,331 
21,892 

32,038 



3,050 

31 



77 
5,976 



471 

32 

1,958 

1,521 

692 

247 

CM 

36 
CM 
77 
521 
Cx) 

120 
104 
177 



600 
224 



289 
1,697 



25,466 
6,572 



2,786 
42,588 



112 


3,561 


58 


563 


302 


10,663 


329 


7,881 


66 


2,030 


97 


2,526 


135 


CM 


42 


882 


40 


CM ■ 


121 


1,339 


62 


1,769 


13 


Cx) 


13 


181 


27 


712 


47 


1,511 


233 


4,645 



1,004 



63 

788 

44 

2 

31 

46 

17 

7 

6 



215,937 



6,371 
130,990 

6,348 
Cx) 

1,391 
15,620 
Cx) 

1,626 

2,028 

29,572 



8,649 



125 
467 



35 
291 
141 



21,020 
8,552 



21,637 
168,197 



507 
7,626 
83 
Cx) 

95 
173 
Cx) 

21 
106 

1,135 



8,420 



10,806 



70 
112 
145 
13 
7 
34 
4 
3 
10 



31,306 
53,144 
33,747 

86,962 



592 
543 



3,160 
22,257 



470 

7,458 

90 

Cx) 

71 

154 

Cx) 

124 

1,302 



166 

10 



145 
6 



18,902 

19,234 

35,232 

611 

578 

10,968 

Cx) 

Cx) 

602 

55 ,454 



9,212 
3,814 
4,231 

13,227 



"665" 
636 



2,870 
20,338 



3,640 

3,644 

3,977 

15 

54 

1,659 

Cx) 

Cx) 

129 

10,872 



9,072 
7,748 
3,518 

11,349 



35,083 
2,010 
1,290 

16,534 
537 

260,863 



630 

63 

101 

9 

195 

609 



226,316 
Cx) 

13,181 
Cx) 

16,101 

118,402 



7,509 
329 

36 
2,926 

72 

24,817 



2,885 

3,142 

3,532 

11 

47 

1,543 

Cx) 

Cx) 

87 

9,248 



233 
66 
163 

147 



57,753 
6,893 
27,819 
25,932 

32,237 



20,843 
Cx.) 
2,446 
Cx) 

940 

20,133 



6,622 
243 

55 
2,263 

60 

17,466 



14,354 
(x) 
1,873 
Cx) 

704 

16,035 



8,244 
1,239 
6,033 
4,617 

3,593 



179 
19 

155 

35 

333 



30,518 
1,719. 

19,865 

1,951 

63,152 



156 
61 



11,124 
1,190 

31,329 
7,589 

Cx) 

Cx) 

CM 
2,479 
1,069 

CM 
2,601 

Cx) 

Cx) 

Cx) 

Cx) 
1,431 



3,353 
240 



24« 



7,660 



6,596 
1,109 
5,205 
3,125 

3.333 



3,L28 
205 



6,841 



610 
12 
2,979 
2,212 
Cx) 
Cx) 
CM 
112 
72 
CM 

609 
Cx) 
Cx) 
Cx) 
Cx) 
255 



489 
6 
2,656 
2,019 
Cx) 
Cx) 
CM 



CM 

5 
Cx) 
Cx) 
Cx) 
Cx) 



5,985 
4,176 
84 
126 
174 
43 
123 
47 
43 

4,091 



2,636 
1,405 



1,250 



541 
143 



174 
193 
39 
26 
132 
49 
11 
51 



353 

36 

116 

302 

32 



149 
90 

226 
29 

2,451 

851 



130 
202 
431 



497 
99 



1,271 

isr 

47 
228 
188 
28 
57 
150 
30 
31 
97 
35 
7 
19 
13 
24 
136 



INVENTORIES 



10.31 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS; 1948— Coa 

StOMS, SaUS, and MeHCHANDISE iNVENTOKIIt 

[Set tt«t for eiphmtory qattml) ' 



Kind of busineu 



Louisiana 



Maine 



Large atorei and multiunits 



Stores 



(Humhcr) 



Sates, 

entire 

year 

(Thousand 

dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thou5flnd 

dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small singletinit stores 



Large stores and mukiunits 



Stores 
(Humbcr) 



Sales. 

entire 

year 

(Thousand 

dollars) 



Stores 



(Number) 



Sales, 
entire 
year 
(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Beranning 
of year 

(Thousand 
dollars) 



Small single^unit store* 



Stores 



(Nltnbcr) 



Sales, 

entire 

year 

(Jhouuml 

dollart) 



State, total 

Pood group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fniit stores, vegetable markets 

Candy, nut, confectionery stores. .. > 

Dairy products stores, milk dealers 

Bakery products stores 

Egg. poultry dealers 

/ul other food stores 

Eating and drinking places 

Eating places 

Drinking places .....< 

Gen«al stores 

General merchandise group 

Department stores. 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stares 

Family clothing stores 

Women's rcadyto-wcar stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fiir shews 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home himishing stares 

Household appliance stares 

Radio stares 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumberyards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers , 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores , 

Second-hand stores 

Other retail stores 

Fuel, fioel oil dealers 

Ice dealers 

Feed, farm, garden supply stares 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stxsea 

riOTists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stares 

Music stores 

Luggage, leather goods stores ; 

Optical goods stores , 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 



5.389 



1.061 



196 

707 

61 

8 

23 

25 

22 

10 

9 

617 



324 

293 



415 



33 
255 
127 



89 

103 

133 

16 

12 

100 

7 

5 

15 

432 



251 
9 
22 

146 
4 



~U6 

107 
76 

17 

276 
515 



271 
35 

lU 
98 



10 



183 
24 



410 



1,136,144 



124,439 



24,290 



545,190 



485,812 



53,524 



173,213 



12,641 

142,528 

5,663 

(M 
1,350 
4,992 
1,475 

C^) 
2,903 

46,598 



8.170 



32,793 
13,805 



20,772 
200.234 



817 
6,781 
80 

111 
104 
37 

227 

2,052 



7,578 



10,522 



195,333 



120,313 



5,276 



5,315 



823 

6,223 

% 

115 
87 
29 
(^) 

193 

2,364 



5,419 

3,876 

406 

114 

421 

26 

136 

91 

33 

5,552 



68,413 

105,645 

9,312 

3,312 

731 

3,792 

676 

94,303 



186 
369 
U 
1 
22 
31 
12 



23,918 
go, 577 

1,501 
(x) 

1,138 
11,920 
(') 

(x) 



964 
1,088 



2,980 
25.549 



1,081 
1,283 



2,797 
22 .603 



2,479 
3,073 



39,224 
55»079 



21,131 
15 ,091 



117,284 
49,891 
33,059 

106.114 



13,544 
7,871 
4,134 

14,866 



11,781 
6,883 
3,939 

13 .231 



436 
106 



18,895 
27,129 
39,633 
(x) 

1,062 
15,821 

1,063 
(x) 
(x) 

71.073 



47,021 
1,055 
(x) 

20, W7 
(x) 

255,588 



3,304 
4,290 
4,038 
(xi 

108 
2,595 
165 
(x) 
(x) 



12,552 

5;fto 



2,819 
3,971 
3,418 
(x) 
112 
2,4JR) 
137 
(it) 
(x) 

10,894 



126 
185 
182 
26 
13 
99 
47 
2 
61 



12,949 
2,142 

24.056 



7,205 
(x) 

2,554 

58,694 



1,363 

3,691 

22 

(x) 
64 
97 

(M 

(x)"" 
(x) 



1,576 

3,532 

19 

(x) 

55 

102 

(M 

(x)"' 

Jx) 



202,068 
(x) 

12,739 
(x5 

. 23,517 

122,466 



183 
(x) 
2,997 
(x5 

22j242 



7,490 
181 
(x) 

2,536 
'(X) 

16.730 



243 
35 
90 

246 
48 



4,785 
6,790 
5,845 
(x) 
391 
3,038 
1,361 

23 ,020 



28,615 

8,458 

21,621 

33,467 



(x) 



8,678 



3,799 
1,477 
3,402 

6,058 



(x) 



8,768 



4,093 
1,482 
3,193 

5,792 



17,163 
(x) 
2,137 
(x) 

1,434 

17.288 



12,378 
(x) 
1,920 
(x) 

1,242 

13,929 



115 
129 
205 
41 

2,044 

665 



9,776 
1,156 

(x) 
9,575 

(x) 

21.246 



10,076 

5,129 

12,512 

125 

531 

3,947 

780 
367 

23,311 



6,601 
(x) 

7,146 
(x) 

55,970 

25.864 



268 

34 

26 

5 

75 

186 



10,774 
(x) 

1,390 
10,467 
(x) 

100,412 



2,351 

1,098 

1,497 

10 

40 

899 

'84 
79 

4,526 



76,924 

5,613 

18,003 

21,921 

31,544 



9,399 

832 

3,693 

3,364 

3,699 



31,057 
487 

11,932 

2,611 

70,482 



3,638 
61 



1,307 
320 



11.980 



7,340 

811 

3,196 

2,582 

3,392 



157 
125 
349 
34 



12,795 

(x5 

19,975 

13,955 
4,490 
2,355 
1,437 
3,618 

(x) 

478 
3,936 

(x) 

(x) 
1,512 

(xi 
3,372 



1,294 
(x) 
1,830 
4,582 
856 
1,182 
105 
184 
(x) 
161 
756 
(x) 

(X) 

287 
(x) 
430 



3,330 
62 

1,447 

328 

11,472 



1,436 
(x) 
1,588 
4,634 
781 
1,033 
91 
122 
(x) 
178 
616 
(x) 
(x) 

250 
(x) 
473 



557 
136 



1,097 



7,321 

4,459 

12,420 

1,664 

27,634 



72 
20 
■52 
■42 



85,044 

10,839 

3,620 

909 

6,383 

44.781 



2,633 
(x) 
69 

1,634 
(xS 

11,584 



2,222 

1,009 

1,450 

9 

41 

895 

92 

74 

3,801 



19,357 
3,516 
9,419 

12,489 

5,995 



9,735 

1,100 

646 

103 

363 

8,597 



2,274 
(x) 

94 

1,317 
(x) 

8,715 



3,482 

612 

2,128 

2,375 

994 



7,052 
923 
619 
121 

309 

7,578 



2,882 

639 

1,903 

2,154 

881 



22,702 
4,932 



12,921 
1,597 



27.024 



5,338 

657 

18,806 

(x) 

63,761 



30 
38 

U5 

197 
53 
61 

182 
20 
41 
76 
50 
3 
18 
9 
32 

U2 



1,214 

(x) 
5,976 
4,574 
1,268 
1,829 
3,529 
323 

(x) 
1,025 
1,193 

(x5 

(x) 
350 

(x) 
2,976 



118 
36 
6 
4 

1 
18 

5 
15 
10 



23,538 

31,082 
4,427 

726 
(x) 
(x) 

953 
(^) 
(^) 

859 



(x) 
(x) 
(^) 



829 
165 

912 

(x) 

6,012 



1,576 

2,442 
1,099 
160 
(x) 
(x) 

79 
("■) 

C-) 

224 



(x) 
(x) 
(') 



747 
134 

1,043 

(x) 

5.7U 



1,405 

2,452 
991 
164 
(x) 
(x) 

79 
(^) 

C-) 

209 



(x) 
(^) 



3,243 



1,200 

1,630 

113 

23 

126 

48 

88 

3 

12 



1,292 
198 



135 
71 



172 
74 

U2 
37 
29 
99 
18 
6 
29 

392 



36 
105 
129 

34 



69 

83 

119 

17 

1,350 

334 



71 
82 
148 
33 



222 

87 



153 
42 
69 

111 
30 
67 
49 
51 
42 

149 
21 
6 

12 
16 
98 



269,839 



101,843 



23,530 

67,051 
3,763 

(x) 
2,251 
2,011 

(') 
19 

(x) 

(x) 



23,439 
(x) 



6,445 



5,244 



3,456 
1,788 



18,549 



6,291 

2,506 

4,380 

453 

739 

3,198 

250 

229 

503 



10,722 
3,648 

(x) 

870 
4,695 

(x) 

11,698 



4,002 

3,355 

3,776 

565 

34,911 

13,082 



2,404 
2,679 
6,216 

1,783 

13,402 



10,560 
2,842 

2,711 

(x) 

■22 .863 



6,201 
420 
3,166 
2,653 
582 
(x) 
(x) 
1,413 
(') 
(M 
432 
216 

(x) 

(•) 



See footnotes at end of table. 



10.32 



RETAIL TRADE— GENERAL STATISTICS 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

Storbs, Sales, and Merchandise Inventories 

[See text for explanatoiy material] 



Maryland 



Massachusetts 



Large stores and multiunits 



Kind of business 



Stores 
Q^umber] 



Sales, 
entire 
year 

{Thousand 
doUars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 

dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small single-unit stores 



Large stores and multiunits 



Stores 
(Humber) 



Sales, 

entire 

year 

(Thousand 

dollars) 



Stores 

(Number) 



Sales, 
entire 
year 
(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of yeat 

(Thousand 

dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small single-unit stores 



Stores 
(Mumber) 



Sales, 

entire 

year 

(JTiousand 

dollars) 



State, total 

Food group 

Grocer>' stores, without fresh meat 

Grocery' stores, vw-ith fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations . . . ■. 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores , 

Second-hand stores 

Other retail stores 

Fuel, fiiel oil dealers 

Ice dealers 

Feed, ferm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores .■ 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 



5,189 



1,359,3M 



130,<;05 



118,928 



19j&i8 



555,375 



12,793 



3,075.050 



296,489 



-tl,109 



1,227,097 



1,323 



116 
721 
89 
17 
137 
80 
89 
45 
29 



393 

135 



127 
73 

156 
26 
17 

M9 
4. 



150 
17 



144 
15 



~4l4 
84 
76 
20 



145 
38 
81 
67 



206 

35 



111 
2 
190 
71 
26 
9 
29 
23 
12 



308,746 



10,570 



10,488 



7,631 



197,387 



3,449 



808,537 



10,600 
222,739 
12,043 
(^) 

6,290 
45,812 

2,990 
(^) 

3,537 

58,956 



43,035 
15,921 



269,327 



665 
8,720 
132 
(M 
293 
521 
21 



2,201 



B,444 

111 



(') 



294 

631 

25 



223,562 
12,680 
33,085 

87,280 



1,073 
1,128 



34.135 



(') 



2,187 



27,941 
2,092 
4,102 

13,547 



986 

1,201 



35,258 



l,ii6 

3,507 

390 

454 

1,137 

72 

294 

130 

159 

4,697 



2,062 
2,635 



24,929 
123,706 

11,580 

(M 

13,942 
1,946 
7,146 

(1) 
4,414 

119,013 



29,065 
2,034 
4,159 

12,345 



46,067 
72,946 



11,723 



75T 

1,547 

177 

85 

239 

365 

201 

27 

55 

1,266 



1,074 
192 



89,395 

502,625 

31,624 

7,189 

9,897 

144,158 

14,339 

3,251 

6,059 

160,. 372 



26,969 



4,953 

19,030 

485 

211 

439 

1,254 

158 

13 

456 

4,446 



27,280 



142,795 
17,577 



3,246 
1,200 



5,156 

19,245 

489 

170 

427 

1,205 

146 

10 

432 

4,900 



12,520 



242 
153 



7,201 
4,522 

33,512 



106 
186 
350 



18,355 

15,332 

31,094 

882 

1,563 
16,174 
(x) 

2,465 
(x) 

71,420 



3,989 

2,550 
3,428 
32 
169 
2,644 
(x) 

508 
(x) 

12,032 



38,955 
3,213 
4,639 

21,082 
3,531 

247,769 



214,542 

19,948 

9,900 

3,379 

23,852 

88,921 



7,642 
630 
402 

2,845 

513 

23,295 



3,634 
2,383 
3,106 
33 
153 
2,301 
(x) 

535 
(x) 

10.317 



239 

153 

243 

50 

48 
135 
56 
10 
122 



9,005 
5,134 
8,577 
596 
901 
4,597 
(x) 

407 
(x) 

19,286 



275" 

165 

452 

70 

101 

349 

11 

39 

45 



391,446 
30,855 
82,189 

283,987 



51,690 

44,689 

119,749 

1,835 

7,292 

43,068 

1,791 

9,137 

4,736 

155,143 



45,983 
5,236 
10,830 

42,571 



3,550 

1,350 



62,661 



11,239 

6,519 

12,352 

159 

874 

8,460 

359 

1,663 

946 

29,569 



46,692 

4,971 
10,998 

40,159 



9,982 
6,188 
12,088 

195 

790 
8,058 

323 
1.643 

892 

27,886 



6,751 
499 
323 

2,380 
364 

16,828 



134 
63 

199 
176 
103 



5,287 
1,797 
2,952 
6,436 
2,814 

13,852 j! 



19,242 

1,572 

2,027 

454 

9S1 

13,664 



13,606 

1,244 

1,560 

418 

885 

11,466 



71 
■127 
108 

28 

1,812 
618 



4,378 

5,039 

3,576 

859 

57,623 

20,565 



399 
65 
56 

297 
52 

1,329 



1,002 
157 
148 
22 

402 

762 



82,704 
10,979 

8,278 
46,146 

7,036 

476,900 



18,830 

2,155 

1,097 

6,633 

854 

49,386 



18,049 
1,709 
1,073 
6,375 
680 

33,991 



55,882 

5,743 

14,420 

12,876 

39,482 



36,513 
2,969 



2,454 
137,315 



7,288 

893 

3,142 

2,341 

4,257 



3,888 
369 

2,206 

594 

12,469 



6,139 

950 

2,655 

1,722 

4,132 



53 
118 
399 

48 



3,763 
369 

2,388 

530 

11,688 



425 
89 



239 



2,385 

2,925 I 

12,997 ' 

2,258 

24,012 



334 
165 
229 
34 



412,599 
36,991 
23,157 
4,153 

35,990 

194,111 



123,311 

20,866 

42,084 

7,350 

57,843 



41,709 

2,549 

4,437 

691 

1,799 

30,627 



17,998 
3,344 
8,086 
1,199 

7,397 



27,939 

2,163 

3,230 

659 

1,605 

27,661 



36,790 
(x) 

62,788 
14,531 

4,378 

1,861 
(x) 

4,036 
847 
(x) 

2,100 
(x) 

1,352 

1,353 
(x) 

2,973 



2,210 
(x) 
3,968 
3,165 
642 
373 
(x) 
193 
47 
(x) 

511 
(x) 
187 
276 
(x) 
600 



1,851 
(x) 
4,064 
2,887 
601 
300 
(x) 
170 
49 
(x) 

416 
(x) 
206 
273 
(x) 
592 



1,383 



58 
123 
152 
53 
79 
201 
60 
46 
133 
69 
6 
26 
18 
12 
204 



21,005 
3,007 



3,327 
33,368 



408 
49 



3,959 

(x) 
5,526 
4,484 
1,579 
1,893 

(x) 
1,342 
964 

(x) 
1,488 

CxS . 
787 
634 

(x) 
4,183 



14 
208 
151 
117 
42 
53 

lie 

86 
50 
33 
11 
19 
25 
7 
• 97 



54,235 
3,608 



327,205 



155,503 

59,032 
29,463 
18,762 
5,438 
(M 

20,060 
8,231 
2,355 
5,573 
1,785 
1,382 
4,327 
1,217 
9,319 



6,794 
603 



650 
30,892 



16,419 

3,091 

. 7,362 

789 

7,148 
i,622 



29,232 



9,758 

(M 

3,922 

7,251 

2,658 

1,238 

CM 

1,139 

578 

402 

1,247 

383 

139 

633 

172 

1,302 



8,764 

(M 

4,008 

6,827 

2,521 

l,ai5 

(M 

1,073 

567 

347 

1,359 

338 

149 

661 

167 

1,272 



3,703 
4,884 
942 
675 
797 
251 
877 
120 
271 

7,968 



4,965 
3,003 



654 
309 



3,146 



243 
669 
235 
237 
562 
233 
77 
249 



505 
313 
549 
377 
233 



167 

278 

243 

93 

4,484 

1,318 



158 
409 
702 
49 

1,621 



l,23i 
389 



517 
4,889 



705 
144 

80 
512 
201 I 
243 I 
539 
580 
242 
592 I 
177 ■ 

24 

80 
101 ; 

60 ; 

609 ' 



372,4 21 



73,777 

195,205 

31,734 

15,833 

12,948 

10,797 

21,203 

3,184 

7,740 

225,356 



126,630 
98,726 



2,455 



20,639 



13,836 
6,803 

89,324 

23,154 
7,976 

21,119 
3,310 
4,920 

16,596 
2,691 
3,037 
6,521 

56,274 



20,091 
9,057 
7,602 

13,220 
6,304' 

29,920 
97VS2 

10,251 
7,529 
2,358 

129,218 

46,494 



7,026 
12,991 
24,592 

1,885 

81,899 
63,663 

13,231 

46,159" 

6ti49 

120,589 
28,728 
(M 
3,733 
13,785 
5,497 
5,140 

12,140 
7,725 
7,161 
3,798 
l,cr7l 
1,663 
2,723 
2,053 

12,267 



See footnotes at end cf table. 



INVENTORIES 



10.33 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

SrouBs, Saus, and Mbrchandisb Inventokibs 

|See ttxt for «plinjtory material! 



Kind of buaineas 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

C^ndy, nut, confectionery stores 

Diiry products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

AU other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, genetal merchandise stores 

Variety stores 

Apparel group 

Men's, boys" clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores , - 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Fumiture^stol^ 

Floo^covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 

Automptlre group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fiiel oil dealers 

Ice dealers 

Peed, farm, garden supply stares 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Ggar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores .- 

Camera, photographic supply stores 

Office, store machine and equipment dealers. 
All other retail stores 



Michigan 



Large stores and multiunits 



Stores 



(Mumber) 



3,876 



530 
2,483 

206 
35 

172 

309 
89 
25 
27- 

1.110 



Sales, 
entire 
year 

(Diousand 
dollars) 



i, 305, A4b 



962,275 



8iA 
266 



120 
216 

ill 

1,757 



402 
172 
517 
65 
110 
403 
18 
23 
47 

1,144 



427 
120 

48 
520 

29 

2,292 



1,550 
456 
213 
73 

360 

1,714 



752 
270 
374 
318' 



341 
44 

157 

48 

1,461 



426 
1 

297 

216 
64 
39 
55 
62 
23 
30 
69 
7 
17 
28 
18 

104 



61,334 
717,314 

34,992 
4,076 

25,529 

98,475 
6,664 
3,684 

10,207 

114,197 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



421,491 



^3.151 



90,028 
24,169 



9,288 
674,910 



513,016 
48,430 
106,414 

330, 576 



82,169 
43,179 
129,927 
2,462 
10,044 
50,054 
2,156 
7,372 
3,213 

205,666 



97,353 
23,174 
10,963 
71,086 
3,090 

1,040,724 



855,570 

134,753 

36,496 

13,905 

94,332 

388,354 



234,953 
37,673 
62,753 
52,975 

166,031 



158,609 
7,422 



27,012 

2,753 

239,328 



110,045 
(x) 

75,434 
31,802 
14,546 
8,124 
(^) 
9,946 
2,375 
1,909 
13,937 
1,568 
978 
4,736 
2,895 
7,336 



2,805 

27,583 

387 

108 

522 

1,044 
106 
113 
478 

2.809 



Beginning 
of year 

(Thmtsand 
dollaTs) 



370,200 



Small single-unit stores 



Stores 
(dumber) 



33,152 



1,312 
997 



1,633 
76,004 



53,660 
9,233 
13,111 

48,279 



16,213 

7,287 

12,388 

111 

1,205 

8,352 

297 

1,274 

652 

37,785 



21,762 
4,080 
1,002 

10,132 
759 



88,948 
69,663 
10,335 
6,923 
2,027 



4,895 
65,498 



34,233 

5,845 

14,487 

10,933 

17,783 



17,229 
559 



2,206 



42,017 



12,990 

(x) 

6,999 

9,712 

2,123 

1,951 

(») 

621 

125 

351 

3,798 

484 

U9 

986 

563 

1,094 



2,949 

27,^51 
385 
107 
556 
912 
122 
187 
583 

3,004 



1,949 
1,055 



1,619 



51,707 

8,385 

11,531 

44,139 



14,441 

7,060 

11,657 

73 

1,034 

7,757 

243 

1,306 

563 

33,328 



19,657 

3,157 

8X4 

9,191 

509 

69,929 
53,510 
8,276 
6,314 
1,829 

4,201 

55,017 



28,715 
5,242 

12,933 
3,127 

16,236 



15,702 
534 



2,175 



35,332 



8,530 
Cx) 

6,610 
8,762 
1,972 
1,975 

537 
121 
265 

3,451 
463 
119 
792 
510 

1,086 



52.574 



Sales, 

entire 

year 

(Thousand 

doilan) 



14,325 



2,764 
3,062 
530 
454 
1,183 
364 
644 
207 
117 

12,322 



6,786 
5,536 



247 
900 



447 
453 



620 
268 
608 
181 
121 
497 
170 
72 
247 

2,234 



473 
254 
J22 
825 
360 

1,532 
350 
412 
529 
241 

7,666 

3,197 



358 

967 

1,488 

384 

1,447 



1,132 
315 



4,306 



566 

81 

374 

659 

149 

455 

606 

259 

103 

446 

203 

33 

27 

115 



1,644,832 



469,594 



62 

319 

21 

5 

17 

15 

18, 

5 

2 



,855 
,339 
,488 
,904 
,479 
,434 
,795 
479 
,321 



143,477 
134,128 



9,666 
28,563 



Minnesota 



Large stores and multiunits 



Stores 
(Humber) 



14,708 
13,855 



87,73 7 



23,724 
9,728 

20,175 
2,432 
2,400 

17,639 
2,923 
2,516 
6,200 

67, 541 



19,356 
8,036 
5,641 

28,435 
6,023 

61,820 

21,448" 
17,322 
15,801 
7,249 

253,556 

121,433 



16,726 
31,520 
54,297 
18,940 

66,221 



55,55& 
10,665 



20,979 
6,269 



118,793 



23,264 

(x) 

13,316 

17,766 
3,331 
9,744 

4,763 
2,724 
5,512 
4,878 
1,098 
724 
3,519 
2,383 
11,864 



_3,895 



Sales, 
entire 
year 

{Thousand 
dollars) 



1,854 



227 
1,190 
108 
8 
91 
93 
109 
13 
15 



355 
288 



51 
218 
136 



184 
71 

168 
37 
8 
96 
11 
26 
11 



193 
21 
17 

232 
12 

1,268 

998 

149 

87 

34 

637 

1,775 



825 



314 
548 



241 
7 



106 

5 
216 
73 
25 
18 
32 
33 

4 
13 
34 

4 
11 
13 

6 
42 



j^062,464^ 



363,646 



31,711 
253,345 

21,704 
1,287 
4,433 

40,412 
4,226 
2,159 
4,369 

73,637 



Merchandise inventories, 
at cost 



End of year 

(Thousand 

dollars) 



245jg72_^ 



16,505 



39,337 
34,300 



23,019 
337 ,934 



296,761 
61,721 
29,502 

1 30,391 



33,045 

51,797 

44,517 

325 

452 

13,304 

1,622 

4,108 

721 

88,245 



48,426 
6,240 
5,503 

27,079 
997 

422,107 

356;955 

41,017 

16,141 

7,994 

63,879 

304,179 



144,342 
11,726 
50,742 
97,369 

43,205 



42,444 
761 



33,242 

2,634 

126,196 



36,284 

(^) 

49,461 

10,732 
3,415 
2,854 
2,690 
2,741 

(x) 

(^) 
5,289 

(x) 
1,109 
1,743 
439 
2,485 



2,322 

12,554 

491 

29 

219 

448 

51 

66 

325 

4,369 



Beginning 
of year 

(Tlumsand 
dollars) 



Small singk'unit stores 



Stores 

(Number ) 



212,915 



15,833 



1,183 
3,186 



3,686 
52,363 



39,431 
9,393 
4,039 

20,189 



7,817 

4,279 

4,407 

32 

63 

2,363 

322 

742 

159 

16,238 



10,088" 

929 

693 

4,231 

242 

44,406 

37,603 

2,746 

3,078 

979 

5,155 

55,292 



26,639 

1,616 

10,644 

16,393 

5,647 



5,578 
59 



5,213 



15,167 



3,920 

(') 

3,497 

3,379 

1,109 

785 

104 

160 

1,010 
(x) 
109 
329 
105 
454 



2,201 

11,942 

511 

26 

210 

487 

58 

44 

359 

4,868 



1,203 
3,665 



3,309 
50,812 



33,789 
8,016 
4,007 

J.8,047 

6,391" 

3,865 

4,274 

35 

62 

2,203 

302 

790 

125 



_14, 149 

S,?65 

761 

664 

3,671 

188 

33,210. 

27,205 

2,554 

2,608 

343 

4,041 

43,549 



20,342 
1,449 
9,553 

12,205 

5,367 



5,314 
53 



5,601 



13,797 



3,133 

(^) 

3,667 

3,036 

1,113 

733 

96 

137 

(x) 

387 
(x) 
108 
220 
67 
356 



2t,y j. 



6,329 

2,555 

2,428 

331 

61 

242 

177 

459 

25 

51 

6,695 



Saks. 

entire 

year 

(Jhoujand 

dollars) 



343, ;9 



3,502 
3,193 



197 
311 

1,260 

^3"04:- 

130 
303 
51 
29 
237 
75 
55 
76 

922 



313 
67 
71 

387 
84 

734 
3S5 
125 
212 
55 

3,961 

2,183 



153 

330 

1,200 

500 

754 



674 
30 



162 
68 

266 

415 
71 

183 

107 
88 
29 

157 
80 
21 
9 
18 
43 

265 



228j_609 
75,833 
110,143 
15,359 
1,738 
4,093 
6,345 
12,561 
933 
1,104 

155,991 



79,574 
76,417 

14,708 

17,335 

8,563 
9,272 

41,977 

5,444 
9,362 
423 
779 
7,407 
1,570 
2,441 
1,499 

32,915 



13,594 
2,222 

1,514 

13,801 

1,784 

35,377 
21,124 
5,607 
6,692 
1,954 

109,211 

96,532 



8,561 
11,486 
49,005 
27,480 

35,038 



32,404 
2,634 

20,394 

2,384 

52,627 



6,697 
(') 

U,703 
10,707 
1,832 
4,14a 
2,470 
1,939 

(M 
2,U9 
(x) 
393 
506 
1,386 
4,801 



See footnotes at end of table. 



10.34 



RETAIL TRADE-GENERAL STATISTICS 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

Stokbs, Salz«, and Mbrchamdise I)0INTORIBS 
patejctfor explanatory material) 



Kind of business 



Mississippi 



Large stores and muJtiunits 



Stores 



(JstumbcT) 



Sales, 
entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 
dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small single-unit stores 



Stores 
(Number) 



Sales, 

entire 

year 

(Thousand 

. . dollara) 



Large stores and multiunits 



Stores 



(J^umber) 



Sales, 
entire 
year 

(^Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(^Thousand 

dollars) 



Beginning 
of year 

(^Thousand 
dollars) 



Small single-unit stores 



Stores 
Plumber) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fnjit stores, vegetable markets 

C^dy, nut, comectionery stores 

Dairy products store , mijk dealers 

Bakery products stores 

Egg. poultry dealers 

/3r other food stores 

Eatliig and drinking places 

Eating places 

Diinldng places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's readyto-wear stores 

Millinery stores 

Other Ipparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stcres 

Other home mrriishing stores 

Household appliance stores 

Radio stores 

AutomotlTe group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plxmibing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores i 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Rorists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores .- 

Camera, photographic supply stores 

Office, store machine and equipment dealers. 
All other retail stores 



101 

527 

10 

1 

5 

13 

3 



159 

55 



S4 
358 



19 
218 

121 



62 

Kl 

120 

5 

3 

2 

3 

306 



171 
1 
5 

127 
2 



517 

39 

76 

2 

219 

i26 



152 

26 

105 

143 

108 



(A 

5 

119 

48 

1 
3 

11 
7 
1 
1 
' 5 
1 

13 
4 
4 

12 



74,502 



61,805 



17,843 



379,626 



10,205 



2,521,559 



289,880 



260,231 



40,411 



96.423 



7,251 
86,391 
(M 

V-) 

853 
9,158 



5,535 



542 
4,816 
(M 
(x) 

34 
(^) 

(x)'" 



5.295 



8,076 



140.625 



538 



4,6 
(x) 

(x)" 



4,774 

3,096 

89 

U 

41 

S 

42 

10 

2 



7,975 
1,183 



13,040 
88,678 



29,552 
41,701 
17,425 

4 9, lU 



164 
61 



2,149 
13,105 



3,688 
7,055 
2,362 

8,789 



148 
56 



1,963 
11,861 



2,553 
763 



870 



52,177 
84,506 

(x) 

291 

262 
(x) 

37.095 



2.046 



157 
1,587 
30 
10 
54 
105 
44 
30 
29 

800 



460,577 



16, 

381, 

4, 

1, 

5, 

38, 
2, 
6, 
5, 



19.355 



7,481 

18,033 

18,616 

163 

(x) 

4,257 
(x) 

Cx)"" 
32,151 



1,672 
3,902 
2,390 
4 
(x) 

671 
(x) 

(x)"' 
5.705 



3,419 
6,485 
1,957 

7,575 



29,940 
7,155 



25,933 
19.483 



570 
230 



73.116 



460 

132 



1,250 
3,448 
2,236 
3 
(x) 

587 
(x) 

Cx)'" 
4.788 



82 
232 
139 
9 
5 
47 
14 

•34 

506 



16,021 
3,462 



21.133 



48 
294 
229 



60,762 
12,354 



16,758 
515,143 



1,045 
16,758 
61 
15 
254 
636 
75 
79 
432 

2,499 



19,467 



10.145 



20,262 
(x) 

644 
11,120 
(x) 

191,099 



3,700 
(x) 
103 

1,878 
(x) 

18.710 



3,302 
(x) 
67 

1,399 
(x) 

13.283 



174,345 
(x) 
7,469 
(x) 

16,368 

79,852 



16,316 
(x) 
1,577 
(x) 

1,097 

12.947 



ll,3Ca 
(X) 
1,315 
(x) 

902 

10,522 



238 
26 
34 

172 
36 

379 



3,384 

9,730 

4,953 

141 

(x) 
2,077 

(x) 

(x)"" 
17.713 



9,232 
(x) 
536 

6,377 
(x) 

15)829 



154 
167 
283 
66 
43 
206 
10 
16 
21 

_63Z. 



378,036 
89,738 
47,369 

190,639 



1,356 
1,143 



2,602 
77.111 



1,056 
16,634 
69 
13 
266 
780 
83 
67 
499 

2.931 



266 
29 
32 

301 
9 

1.454 



30,177 
52,008 
72,187 
1,926 
4,191 
22,011 
1,832 
4,449 
1,858 

132.491 



57,166 
13,772 
6,173 

28.604 



1,680 
1,251 



2,308 
79,586 



78,097 

6,126 

10,105 

37,529 

634 

522.026 



5,807 

9,686 

7,517 

87 

320 

3,625 

353 

912 

297 

24,173 



61,920 

12,137 

5,529 

24.734 



15,609 
1,165 
1,557 
5,677 
165 

51.296 



4,858 

8,041 

6,760 

103 

287 

3,347 

263 

795 

280 

20.468 



13,907 

826 

949 

4,710 

76 

37.539 



116 
48 

199 
16 

1,780 



31,415 

2,849 

18,231 

27,357 



4,032 

395 

3,786 

4,734 

1.616 



3,462 

353 

3,470 

3,237 

1.377 



85 
72 
207 
73 



6,669 
(x) 

6,886 
(x) 

44,267 

18,609 



12,110 
305 

(x) 



1,539 
77 

(x) 



i^ 



23,402 
4,529 
(x) 

186 
(x) 
(x) 

750 
(x) 

466 

^^) 
(x) 

(x) 



1=0 

(M 
1,609 
1,462 

(X) 
x) 

(1) 

U 



(x) 



1,311 
66 

(x) 



^ 



409 
108 



3,599 
2,757 
3,496 

3,757 

18.230 



1,029 
221 
173 
31 

494 

1,270 



594 
153 
165 
358 



439,159 
52,954 
24,256 
5,657 

40,757 

223,877 



15,488 
2,742 

'(x) 



(x) 
(x) 



1,332 
1,374 
(x) 

11 
(x) 
(x) 

106 
(x) 

38 

(x) 



401 
21 



1,053 



111,963 
18,550 
28,532 
64,832 

80,720 



41,949 

3,971 

4,511 

865 

2,031 

43,489 



78,650 
2,070 

29,599 

1,239 
234,617 



21,442 
3,425 
6,312 

12,310 

10.407 



29,769 

2,967 

4,055 

748 

1,743 

35,041 



59 


X) 


23 


(M 


154 


6,807 


112 


3,032 


21 


(x) 


38 


(x 


113 


(^) 


10 


168 


37 


(x) 


37 


27 


690 


6 


143 


4 


(*) 


1A 


(x). 


66 


(x) 



162 
12 

449 
88 
48 
15 
36 
61 
16 
16 
33 
7 
17 
10 
7 
76 



33,983 

797 

121,020 

17,509 

9,963 

3,079 

3,641 

9,208 

2,028 

1,628 

8,582 

571 

1,457 

2,096 

910 

18,145 



10,087 
320 



3,868 



24,299 



17,900 
3,338 
5,760 
8,043 

9.834 



9,500 
334 

3,987 

111 

22,482 



2,558 

62 

8,079 

6,289 

1,246 

553 

114 

413 

85 

387 

1,755 

139 

292 

388 

213 

1,726 



2,032 

55 

7,822 

5,691 

i,126 

456 

109 

357 

38 

322 

1,571 

140 

249 

333 

187 

1,944 



2,516 
5,631 
137 
162 
728 
126 
444 
162 
239 

9.465 



5,056 
4,409 



876 



562 
314 



1.841 



321 

231 

496 

94 

61 

367 

125 

18 

128 

1,594 



430 
98 
221 
683 
1*2 



260 
403 
664 

56 

5,663 
1,939 



230 
495 
915 
299 

1,523 



1,179 
344 

907 

689 

3,603 



459 
89 
822 
483 
101 
148 
311 
161 
61 
320 
119 
6 
35 
38 
64 
386 



See footnotes at end of table. 



INVENTORIES 



10.35 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS-^TATE, BY KIND OF BUSINESS: 1948— Coa 

Stous, Sales, and Mirchandue Invbntorhs 
[Set te«t for eiiplamtory matemll 



Kind of business 



Montana 



Large stores and multiunits 



(J^umbcr) 



Sales, 
entire 
year 

(Thousand 
dollar) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 
dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small single'unit stores 



Stores 
(H'umber) 



Sales, 
entire 
year 

(Thousand 
dollars) 



Nebraska 



Large stores and multiunits 



Stores 



(T^utnber) 



Sales, 
entire 
year 
(TTioujaiuJ 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small single^unit store* 



Stares 
(Number) 



Sales, 

entire 

year 

(JhouMnd 

liolUra) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

I^iry products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's readytO'Wcar stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home himishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers. 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores , 

Drug stores 

Proprietary stores , 

Liquor stores , 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores , 

Sporting goods stores, bicycle stores 

noiists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores .- 

Camera, photographic supply stores 

Office, store machine ana equipment dealers. 
All other retail stores 



2,070 
385 



51 
281 
25 

9 

12 

5 

1 



296 
11 
27 
3 



15^ 
16 
63 

150 



412,U9 
82,345 



54,325 
4,416 



7,186 
68,431 
3,700 

("■)'" 
2,553 
(M 

M 



540 

3,762 

76 

13 
(M 
(x) 



791 



45,440 
4.303 



5,038 
1.269 



534 

3,541 

86 

("■)'" 
15 
(M 
(x) 



772 



451 
591 
55 
3 
59 
22 
70 
4 
14 

1,979 



190,474 
43,736 



4,344 



9,525 
5,931 



5,149 
48.624 



331 
460 



7,546 



350 
422 



801 
8.167 



784 
1,195 



11,293 

26,011 

2,556 

55 

(M 

570 
(M 
(x) 
173 

52.090 



52 
531 
22 
4 
21 
39 
21 
15 
■3 



903,407 
159,980 



112,357 
7.194 



18,790 
33,300 



5,174 



158 
47 



6,658 
136,802 
2,629 
(x) 

953 
7,410 
(M 
2,715 
(x) 

17.482 



551 

5,213 

84 

(x) 

46 

92 

CM 

55 
(x) 

569 



95,661 
7,390 



554 

6,398 

82 

Cx) 

46 

98 

(') 

54 
(x) 

584 



14,215 
3,255 



9,825 
126,486 



344 
325 



1,380 
15,475 



17,225 
25,594 
5,804 

20,659 



6,935 

5,150 

5,130 

167 

1,341 
(x) 
(x) 
(x) 

15,753 



2,734 

4,001 

811 

3,984 



8,822 
(x) 
(x) 

5,277 
(x) 

99,192 



1,787 

923 

763 

5 

415 
(x) 
(x) 
(x) 

3,737 



3,412 

3,943 

812 

3,638 



91,980 
(x) 
4,080 
(x) 

13,167 
76,184 



2,295 
(x) 
(x) 

1,332 
(x) 

11,211 



1,543 

814 

726 

6 

353 

(x) 
(x) 
(x) 

2,851 



1,921 
1,482 



10,037 



140 

100 



3,083 
1,353 
2,770 
273 
230 
1,240 
(x) 
(x) 
(x) 

7,216 



73,430 
33,590 
19,465 

49,714 



10,276 
12,905 
18,359 
(x) 
(x) 
6,593 

(x)'" 



45,502 



8,455 
5,553 
2,465 

8,242 



330 
354 



1,272 
15,020 



8,555 
4,955 
2,510 

5,958 



2,4^1 
2,203 
2,013 

(x) 

(x) 
1,403 

(x)*" 



9,687 



10,050 
(x) 

: 842 
(x) 

1,081 
15,994 



1,760 
(x) 
(x) 

990 
(x) 

8,365 



59 
10 
10 
101 
16 



7,459 
(x) 

724 
(x) 

934 
11,882 



77 
20 
69 
17 

857 



2,496 
(x) 
(x) 

3,736 
(x) 

8,187 



90 

5 

7 

232 



4,241 
(x) 

2,162 
(x) 

24,593 
15,144 



28,814 

2,033 

11,909 

33,428 

JxL 



6,950 
(x) 

(x) 

(x) 

12,813 



6,403 
329 

3,093 
6,169 

JxL 



1,859 

4,683 

1,501 

559 

668 

610 

(x) 

296 
(x) 
1,122 
(x) 

(x) 

(X) 



1,348 
(x) 

(x) 

(x) 

2.276 



4,901 

278 

2,588 

4,115 

Jxl_ 



50 

55 

170 

71 



87 

865 
532 
98 
159 
24 
(x) , 

37 
(x) 

2M 
(x) 

(x 



1,200 
(x) 

(x) 

(x) 

1.573 



156 
46 



2,337 
1,947 
6,899 
3,961 

JxL 



492 
75 
58 
9 



1,007 



26,340 

2,202 

954 

16,006 



206,890 



403 

62 

128 

41A 



175,515 
22,146 
7,986 
1,243 

39,539 
175,807 



5,845 

473 

65 

3,304 



22,355 



2,005 
1,715 
1,730 

(x) 

(x) 
1,329 

(x)"'" 



7,744 



6,809 
(x) 

(x) 

(x) 

11.935 



123 
2 



68,184 
7,517 
21,964 
78,142 

JxL 



18,535 

1,485 

2,040 

194 

2,833 

34,062 



4,933 

369 

42 

2,400 



17,325 



(x) 

(x) 

1 
(x) 

(x) 



73 

363 
453 
122 
126 
26 



23 

2 

22 

92 

-15 

55 

38 

23 

27 

53 

13 

8 

2 

5 

U 

53 



851 
(x) 
1,096 
2,583 
465 
1,078 
1,024 
(x). 

860 
(x) 
396 

(x) 
(x) 

(x) 



30 

1 

109 

38 

12 
7 
3 

28 
2 
6 

10 



17,323 
(x) 

4,465 

(x) 

49,528 



14,451 
1,115 
4,868 

13,628 

Jx) 



14,104 

1,307 

1,746 

168 

2,580 

26,995 



7,723 

(x) 

25,994 
4,346 
2,916 
1,898 

(x) 
1,006 

(x) 

300 
2,609 

(x)*" 

(X) 
747 
751 



2,822 
(x) 

582 

(x) 

5,901 



11,463 

997 

4,593 

9,942 

(x) 



2,592 

(x) 

682 
(x) 
5,271 



729 
(x) 
1,721 
1,4W 
574 
518 
(x) 

42 
(x) 
28 
494 



700 
(x) 
1,572 
1,243 
480 
451 
(x) 

4a 

(x) 
32 
410 



(x) 
(x) 



58 
124 



(X) 



45 
114 



12,529 
2.342 



374 

1,481 

68 

19 

la 

88 

140 
40 
11 

2.994 



1,692 
1,302 



86 
140 



133 
45 

155 
12 
12 
98 
23 
12 
22 



29 

35 
288 

25 



197 

129 

157 

19 

1,937 

1,247 



131 
191 
574 
351 



95 



971 



"63" 
13 
186 
204 
38 
44 
71 
45 
25 
38 
Zi: 

n' 

14 

13 

24 

153 



4U,406 
86.620 



10,366 

63,633 

2,504 

(x) 

1,496 

2,282 

(M 

1,412 
(x) 

74.023 



35,066 
38,957 



6,622 
6,427 



3,053 
3,374 



17,536 



5,984 
1,432 
5,264 
(x) 
(X) 
3,212 
494 
(x) 

464 

20,858 



7,711 
1,003 

811 
10,889 

444 

21,144 



10,443 

4,995 

5,008 

698 

60,506 

54,444 
6,9i6 
6,351 
21,580 
19,583 

(x) 



18,516 
(x) 

15,461 

(x) 

28,290 



2,916 

(x) 

6,998 

5,498 

763 

962 

(x) 

762 
(x) 

50* 
877 
338 
(x) 
(x) 

847 
4,069 



See footnotes at end of table. 



10.36 



RETAIL TRADE— GENERAL STATISTICS 



Table lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

Stores, Sales, and Merchandise Inventories 

[See ttft for explanatory material) 



Kind of business 



Nevada 



Large stores and multiunits 



Q^umbcr) 



Sales, 
entire 
year 
{Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 
{Thousand 



Beginning 
of year 

(Thousand 
doilars) 



Small single'Unit stores 



Stores 
{T^umber) 



Sales, 

entire 

year 

{Thousand 

dollars) 



New Hampshire 



Large stores and multiunits 



Stores 



(>(umber) 



Sales, 
entire 
year 
(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

doltan) 



Beginning 
of year 

{Thousand 
dollars) 



Small single'Unit stores 



Stores 
(Number) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocer>* stores, with fresh meat 

Meat markets, 6sh nurkets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

An other food stores 

Eating and drinking places 

Eating places 

I>rinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores . . . . . 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appUance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores .• 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores .■ 

Camera, photographic supply stores 

Office, store machine and equipment dealers. 
All other retail stores 

See footnotes at end of table. 



9 

107 
7 

5 
6 



151,327 



17,306 



15,470 



1,653 



A9,5S9 



1,696 



303,319 



30,462 



27,333 



33,011 



1,U3 
29,969 
U) 



12,133 



1,662 



1,610 



209 



103 
1,493 
U) 

U)'" 



96 
1,440 
(x) 



7,130 



84,043 



7,37; 
4,761 



3,681 
16,955 



8,741 
5,799 
2,415 

7,190 



150 
377 



430 
2,864 



1,290 

1,110 

464 



124 
448 



2,674 



235 
365 



2,064 
4,082 
U) 

(x)'" 

264 

409 

30 

21 

14,668 



116 
233 
4 
7 
13 
32 
4 
1 
3 



6,233 
8,435 



720 
785 



111 
9 



12,830 

60,672 

U) 
324 
548 
8,165 

(x) 

(x) 

(x) 

_iiL 



3,176 



3,259 



7,134 

(x) 
24,234 



721 
2,341 
(x) 

4 
34 
47 
(x) 
(x) 
(x) 



1,237 

1,090 

347 



1,397 
937 
3,687 
(x) 
(x) 
777 

m'" 

(x) 

7,120 



(x) 
(x) 



429 
280 
522 



280 
252 
464 



Cx) 
(x) 



417 
368 

3,833 



852 

621 

1,509 

(x)'" 
510 
56 

(x)"* 
1.713 



8,243 
6,040 
9,951 

21,070 



130 

(x) 
3,768 



763 
2,384 
(x) 

4 
35 
52 
(x) 
(x) 
(x) 



3,639 
6,404 
6,767 



2,396 

(x)"" 
586 

17.121 



1,124 

1,152 
1,492 

4,205 



136 

(x) 
3,571 



1,107 

1,270 

392 



(x) 
83 

3.300 



1,301 
1,002 
1,268 

4,002 



1,035 
1,177 
828 
(x) 
(x) 
617 

(x)*" 
99 

2.873 



3,720 
(x) 
(x) 

3,050 
(x) 

33,511 



26,921 
5,300 
(x) 
(x) 

6,341 

11,159 



(x) 
(x) 

5 
(x) 

3,418 



(x) 
(X) 

308 
(x) 

2,622 



6,684 
1,463 
1,322 
1,190 

8,397 



2,871 
341 
(x) 
(x) 

306 

2,146 



8,397 

1,051 
(x) 
(x) 



1,220 
200 
433 
293 

1.244 



2,124 
311 
(x) 
(x) 

260 

1,855 



(x) 
(x) 

6 
(x) 

2,593 



1,007 
723 
Cx) 

:x) 

7,889 



174 

16 

14 

2 



7,728 
(x) 
(x) 

7,534 
460 

53,498 



4,827 

1,399 
1,302 
626 
(x) 

710 

303 
(x) 

(x)"' 
(x) 

(x)"" 



1,244 



(x) 
(x) 



1,075 
251 
362 
167 

1,229 



368 
506 
946 
314 



48,079 
(x) 
1,420 
(x) 

2,529 

29,947 



1,811 
(x) 
(x) 

1,239 
67 

5,334 



(x) 



3?6 

205 
465 
112 



1,229 



(x) 
(x) 



27 
179 



1,269 
342 



(x) 
(x) 



13,196 
(x) 

13,059 
(X) 

-ixj_ 



4,741 
(x) 

298 
(x) 

148 

4,936 



1,624 
(x) 
Cx) 

1,056 
37 

3,740 



3,297 
(x) 

234 
Cx) 

148 

4,329 



2 
273 



4,221 
Cx) 

13,840 

Cx) 

44,009 



1,836 
Cx) 

2,259 
'x) 

Cx) 



1,519 
Cx) 

2,178 
Cx) 



Cx) 



187 
434 

111 



Cx) 

Cx)" 
Cx) 

Cx)' 



Cx) 

Cx)' 
Cx) 

Cx)* 



45 
103 



Cx) 



Cx) 
Cx) 
Cx) 
Cx) 

2 
Cx) 



257 
734 
81 

527 
208 
236 
343 



107 
12 
9 
2 
6 
5 
7 
15 
5 
2 
1 
5 



15,572 

23,946 

1,253 

700 

313 

'] 
X) 

x) 

X) 
X) 
X) 



Cx) 

8 
Cx) 
3,762 



592 
Cx) 

955 

Cx) 

3,577 



1,025 

1,787 
369 
100 

C^) 

16 

(,'' 
CM 
Cx) 
Cx) 



Cx) 



972 

1,746 

291 

104 

Cx) 

CM 

11 

CM 
CM. 
Cx) 

Cx) 



Cx) 



5,845 



1,646 



547 
848 
55 
42 
39 
43 
61 



1,101 
964 
137 



93 
123 



103 
33 

104 
18 
21 
77 
12 
10 
18 



73 
15 
141 
89 
38 



53 
39 
50 
22 

821 

175 



128 
54 



720 

"135" 

39 

23 

72 

33 

52 

36 

26 

25 

121 

19 

2 

1 

18 

6 

67 



INVENTORIES 



10.37 



Table lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

Stokis, Salbs, and Mirchandise Invbntoriu 



(See text for explarafory material) 



Kind of business 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, 6sh markets 

Fruit stores, vegetable markets 

C^dy, nut. confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores .... 

Family clothing stores 

Women's readyto-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home nimishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (usedj dealers 

Tire, i)attery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores • 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

norists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 



New Jersey 



Large stores and multiunits 



Stores 



(>^umber) 



3,176 



672 

1,337 

318 

67 

315 

208 

152 

51 

56 

1,166 



817 
349 



43 

194 
260 

1,623 



338 

116 

A39 

59 

167 

364 

13 

31 

96 

1.010 



322 

102 

57 

403 

126 



963 

239 

193 

29 



452 
162 
154 
63 



385 
14 



523 
9 

204 

161 
39 
27 
44 
89 

163 
38 
28 
6 
19 
27 



Sales, 
entire 
year 

(Thousand 
doHars) 



2,922,505 



775,259 



74,000 

513,398 

48,431 

7,857 

15,943 

84,477 

15,194 

7,301 

8,658 

127,616 



99, 169 
28,447 



324,583 



220,985 
26, 971 
76,627 

267.055 



58,926 

49,814 

77,227 

1,652 

16,609 

45,542 

1,238 

5,188 

10,759 

202.160 



81,955 
16,254 
8,392 
70, 245 
25,314 

558,348 



461,808 

63,524 

25,062 

7,954 

36, 594 

223,635 



157,381 
23,594 
27,326 
15,334 

60.265 



58,223 
2,042 



2,183 
311.039 



143,960 

79,284 

25,873 
6,496 
3,406 
2,022 

22,642 
7,148 
2,043 
2,936 
1,014 
1,052 
4,138 
1,209 

(M 



Merchandise inventories, 
at cost 



End of year 

(Thousand 

dollars) 



276,708 



24,622 



4,U1 

16,994 

1,017 

143 

625 

717 

301 

82 

601 

5,488 



2,915 
2,573 



39,300 



25,022 
5,452 
8,B26 

41.869 



13,431 
6,698 
8,291 
96 
2,302 
7,515 
154 
1,159 
2,023 

35.028 



17,804 
2,931. 
892 
9,917 
3,484 

50,276 



39,560 
5,212 
4,129 
1,255 

1,856 

34,977 



23,271 
3,334 
5,303 
3,069 

8.976 



8,815 
161 



5,479 



344. 



28.377 



9,039 

4,404 

7,655 

1,127 

784 

45 

1,571 

337 

458 

504 

174 

113 

985 

286 

(i) 



Beginning 
of year 

(Thousand 
dollars) 



254,394 



23,761 



,334 
16,153 
914 
133 
568 
666 
316 
93 
604 

6,037 



3,016 
3,021 



25,959 
5,192 
8,466 

38.162 



11,354 
7,221 
7,514 
82. 
1,949 
6,935 
134 
1,097 
1,876 

30.C 



15,551 

2,408 

646 

6,628 

2,856 

45,578 



37,111 

4,074 

3,506 

887 

1,599 

29.001 



18,735 
3,078 
4,809 
2,379 

8,493 



8,319 
174 



5,901 
289 



25.718 



7,647 

(M 

4,685 

6,960 

1,086 

719 

43 

1,298 

278 

339 

441 

220 

82 

895 

175 

(M 



Small singlc'unit stores 



Stores 



(Number) 



56,711 



17,779 



4,798 
3,797 
1,885 

914 
3,415 

444 
1,111 

300 
1,115 

13,590 



5,973 
7,617 



1,030 
302 



4.236 



822 
297 
1,187 
254 
443 
548 
173 
103 
409 

2.266 



514 
372 
588 
528 
264 



129 
276 
368 



5,946 
1,762 



187 
575 
959 
41 

1.341 



1,203 
138 



1,122 
456 



5.944 



765 

139 

128 

550 

312 

302 

676 

714 

250 

627 

189 

39 

70 

103 

61 

1,019 



Sales. 

entire 

year 

(Thousand 

dollars) 



1, 556,700 



482,643 



107,309 
141,310 
66,654 
15,901 
57,388 
16,526 
34,576 
8,354 
33,615 

337,626 



133,563 
204,043 



2,161 



31,265 



22,616 
8,647 



126.481 



29,481 
9,429 

36,102 
3,560 

11,642 

17,891 
3,049 
4,345 

10,982 

72,792 



20,516 
12,688 
10,567 
20,319 
8,602 

32,491 



7,990 
11,132 
10,561 

2,808 

159,320 
57,336 



8,266 
18,367 
28., 777 

1,926 

55,537 



50,433 
5,204 



5,159 
140,616 



29,325 

(M 
-5,303 

14,056 
8,545 
5,711 

12,B88 

14, 531 
6,397 
9,789 
4,567 
1,144 
1,669 
3,193 
1,730 

(M 



New Mexico 



Large stores and multiunits 



Stores 
{ T^umbcr) 



1,670 



291 



17 
258 
4 
1 
2 
4 



129 



207 

21 

36 

5 

93 

210 



114 
15 
31 
49 



Sales, 
entire 
year 
(Thousiiud 
dollars) 



323,138 



61,916 



737 
57,612 



5,882 
3,630 

8,274 



11,446 
18,559 
7,558 

19.935 



3,717 

5,972 

6,932 

x) 

x) 

2,465 



X) 
19 . 2S9 



10, 575 
x) 
x) 
6,565 



76,781 



67,497 
3,861 
4,164 
1,259 

9,250 

47.525 



27,721 
3,976 
6,144 
9,685 

11,089 



10,981 
108 



19.397 



4,148 
(x) 
5,987 
2,299 
1,427 
(x) 

294 
(x) 
(x) 
809 
752 



(X) 
(x)' 



Mercliandise inventories, 
at cost 



End of year 

(Thousand 
dollaTs) 



44,417 



3,299 



f!3 

3,055 

x) 

xl 

■'■) 

x) 

x) 



251 
346 

1,539 

6,295 



1,962 
3,091 
1,243 



302 
1,432 

970 
(x) 
(x) 



(x) 
(x) 

3,760 



2,077 
(x) 
(x) 

1,467 



9,522 



8,138 
315 

919 
150 

512 

9.438 



5,152 

613 

1,580 

2,093 

1.650 



1,619 
31 

446 

38 

3.354 



419 
(x) 

758 
1,031 

307 
Cx) 

24 
(x) 
(x) 

224 

132 



(x) 
(x)' 



Beginning 
of year 

(Thousand 
dollars) 



37,119 



3,268 



3,062 



239 
365 



1,489 
5,547 



1,655 

2,768 
1,124 

3.301 



613 
1,366 



2,833 



1,627 

x) 

x) 

1,074 

7,166 



5,943 
236 
836 
151 

444 

7.653 



4,214 

507 
1,384 
1,548 

1,389 



1,352 
27 

508 

24 

2.873 



(x) 



345 
) 

587 
945 
262 



(x) 
(x) 



211 
103 



(x) 
(x)' 



Small singlcunit store* 



Stores 



6,172 



1,807 



1,400 
856 



116 

42 



25 

65 
60 
12 

984 

183 



112 
32 



221 

65 



Sales, 

entire 

year 

(Thousand 

Jollori) 



154,415 



38,165 



10,157 

25,873 

(x) 

(x) 

(X) 

(x) 

(x) 

(x) 



28.449 

15,i« 



4,006 
4,432 



3,426 

1,006 



a. 403 



1,470 
1,794 
2,978 
(x) 

M 

1,203 
75 
(x) 
(x) 

5.537 



2,364 
M 
(x) 

2,467 

81 

6,750 



1,366 
2,718 
2,283 

383 

26,432 

7,305 



2,220 
1,160 
2,324 

1,601 

6,091 



5,215 
876 

5,721 

1,002 

12.122 



871 
(x) 
2,617 
2,069 

373 
(x) 

838 
(x) 
(x) 
1,060 

416 
(x) 
(x) 
tx) 

395 
(x) 



See footnotes at end of table. 



10.38 



RETAIL TRADE-GENERAL STATISTICS 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE» BY KIND OF BUSINESS: 1948— Coa 

Storbs, Salis, and Mbrchandise Invsmtoubs 

(See tcjft for expUnatoiy material] 



Kind of business 



Large stores and multiunits 



Stores 

(T^umber) 



entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small single'unit stores 



Stores 



(J^umber) 



Sales, 
entire 
year 

(Thoitsand 
dollars) 



North CaroUna 



Large stores and multiunits 



Stores 



(Humhcr) 



Sales, 
entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small singlcunit stores 



Stores 
(Number) 



State, total. 



Food group 

Grocery stores, without fresh meat. 
Grocery stores, with fresh meat . . . . 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores. . . 
Dairy products stores, milk dealers . 

Bakery products stores 

Egg, poultry dealers 

jMI other food stores 



Eating and drinking places. 

Eating places 

Drinking places 



General stores. 



General merchandise group 

Department stores 

Dry goods, general merchandise stores . 
Variety stores 



Apparel group 

Men's, boys' clothing, fiimishings stores . 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores . 

Shoe stores 

Custom tailors 

Furriers, fiir shops 

All other apparel stores 



Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores.. 

Other home furnishing stores . .' 

Household appliance stores 

Radio stores % 



Automotive group 

Motor vehicle (new and used) dealers. 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 



Gasoline service stations . 



Lumber, building, hardware group. 

Lumber yards, building materials dealers . 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 



Drug and proprietary stores. 

Drug stores 

Proprietary stores 



Liquor stores 

Second-hand stores. 



Other retail stores 

Fuel, fiiel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, sutionery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers. 
All other retail stores 



39,996 



10,082,652 



953,36^ 



870,^54 



156,286 



4,543,874 



7,131 



1,529,337 



11,741 



2,450,797 



2,755 

3,686 

2,045 

385 

1,081 

612 

679 

280 

218 

4,261 



3,371 
890 



47 
1,398 



162 
530 
706 

5.319 



1,216 
340 

1,375 
177 
567 

1,215 

69 

120 

240 

2.902 



1,068 
363 
223 
868 
380 

3,532 



2,344 

616 

485 

87 

1,217 

2,115 



949 
400 
503 
263 



1,317 
26 



5.125 



1,085 
24 
857 
497 
293 
140 
197 
415 
584 
136 
128 
67 
103 
123 
21 
450 



362,547 
1,306,636 

299,927 
37,175 
54,697 

246,945 
75,886 
31,081 
35,903 

712.302 



76,443 



20,868 

44,720 

2,634 

462 

2,620 

2,229 

1,008 

80 

1,822 

20.310 



74,559 



20,714 

43,961 

2,713 

401 

1,499 

2,082 

1,074 

85 

2,030 

22,816 



48,488 



14,777 
7,467 
7,538 
4,737 
5,084 
1,603 
2,819 
821 
3,642 

33.471 



1,480,681 



422,617 
295., 381 
286,802 
96,097 
78,086 
58,953 
91,535 
27,053 
124,157 

960.280 



1,169 



238,347 



10,841 



9,793 



154 
914 
19 
6 
19 
41 
8 
2 
6 



14,390 
208, 621 

2,666 
(M 

1,387 

8,176 
(M 
Cx) 

1,956 

20.476 



1,136 
9,268 
40 
(M 



(') 
(x) 



169 



1,097 

8,232 

45 

(M 

75 
144 

(x) 
168 

430 



625,977 
86,325 

7,689 

1,470,459 



14,939 
5,371 



1,162 



17,065 
5,751 



1,238 



17,170 
16,301 



512 
4,123 



1,136,034 

96,150 

238,275 

1,363.602 



283,982 

319,820 

433,199 

6,730 

59,807 

181,136 

13,166 

35,869 

29,893 

642.285 



122,523 
18,594 
27, 929 

188, 32 9 



271,189 
56,998 
42,754 
164,364 
106,980 

1.452.547 



56,503 

37,302 

40, 829 

453 

7,471 

31, 137 

2,016 

7,413 

5,205 

105.804 



123,053 
17,654 
27,527 

179,736 



458,852 
501,428 



17,369 
88,266 



331 
44 



120 
795 



1,173,086 

202,654 

61,088 

15,719 

111,395 

497,466 



50,795 
10,280 
8,295 
22, 973 
13,461 

129.732 



51,275 

38,190 

39,414 

381 

7,049 

29,075 

1,993 

7,452 

4,907 

93.583 



3,142 
981 



13.870 



279,145 
56, 582 

110,831 
50, 908 

191,966 



103,803 

12,944 

10,799 

2,186 

5,299 

83,980 



48,030 
8,194 
7,675 
18,911 
10,773 

92.515 



2,518 
746 

3,188 
983 

2,165 

1,777 
842 
443 

1,208 

7,446 



65,390 
22-, 876 



383.694 



121 
370 
304 



19,411 
1,065 



24, 535 
283,878 



440 
45 



3,881 
40, 296 



41,880 

9,129 

22,403 

10,568 

27,350 



70,540 
10,283 
9,575 
2,117 

4,478 

71,426 



1,457, 
1,304 
2,372 
1,507 
806 

2.290 



89,-432 
22,169 
91,564 
14,618 
49,685 
53,789 
15,259 
14,631 
32,547 

208.164 



53,629 
39, 832 
40,370 
52,338 
21,995 

86.392 



163 

195 

242 

18 

8 

138 

3 

1 

20 



149,145 
81,972 
■52,761 

121.535 



35, 107 
8,018 

20,451 
7,850 

25,639 



427 
687 
880 
296 

11,319 

4.960 



24,973 

27,100 

24,848 

9,471 

330,584 

168.369 



392 

7 

22 

221 

5 

1,150 



24,065 

28,992 

47,141 

979 

1,789 
16,417 
(x) 
(x) 

1,620 

95.649 



18,852 
13,792 
7,652 

19.251 



389 
41 



3,561 
36,203 



872 

109 

154 

15 



67,145 

(M 

3,221 
24, 078 
(1) 

362.922 



4,946 

5,976 

5,055 

22 

184 

2,682 

(x) 

(x) 

309 

16.639 



17,313 
12,330 
6,560 

16.530 



12,593 
(^) 

232 
3,571 
(M 

32.436 



3,830 

5,361 

4,382 

26 

164 

2,416 

(x) 

(x) 

271 

13.861 



189,801 
2,165 

138,190 

13,169 

1.030.785 



27,123 
227 



23,623 
2,991 



119.295 



353,463 

3,208 
220, 564 
99,700 
90,903 
"27,662 
14,358 
58,640 
24,983 

9,739 
20,723 
11,663 

6,673 
35,383 

2,445 
50,678 



19,786 

80 

16,664 

35,644 

9,993 

5,295 

368 

4,033 

891 

1,796- 

4,786 

2,822 

951 

5,961 

421 

9,804 



25,373 
266 

24,029 

2,891 

109.310 



560 
1,676 
2,451 

273 

4,829 



27,411 
50,371 
77,327 
13,260 

181,344 



210 
60 
208 
157 



314,689 
24,627 
21,319 
2,287 

27,803 

154,384 



27,616 

1,167 

3,310 

343 

1,602 

23.776 



10,815 
(M 

194 
2,673 
(M 
29.817 



25, 941 

835 

2,778 

263 

1,232 

18.913 



72,663 

7,950 

40,971 

32,800 

32,777 



4,580 
249 



3,566 
1,774 



19.638 



172,398 
8,946 

164, 917 

21,829 

451.985 



16,899 

55 

16,862 

31,653 

9,937 

4,807 

282 

3,716 

830 

1,780 

4,112 

2,035 

917 

5,467 

400 

9,558 



1,540 

412 

406 

1,734 

1,056 

812 

1,664 

4,845 

1,352 

1,657 

568 

197 

316 

356 

146 

2,577 



64,735 

3,463 

17,149 

45,627 

30,428 

18,204 

35,000 

94,199 

25,403 

25,567 

12,119 

6,137 

6,810 

10,925 

4,484 

51,735 



128 

22 

306 

104 

32 

27 

18 

8 

37 

14 

28 

3 
6 
4 
29 



32,326 
451 

45,710 

1,151 

120.170 



8,532 
1,488 
8,725 
5,031 

4,474 



4,422 
52 

2,626 

229 

14.452 



6,790 
1,023 
7,473 
3,627 

4,089 



4,063 
26 

2,729 

277 

13.080 



19,772 
3,244 

62,472 

10, 798 
8,430 
3,369 

(M 
1,981 
1,577 

(M 
3,019 

(x)'" 
915 
(x) 
2,565 



1,332 
113 
6,589 
3,312 
1,168 
602 

C-) 

78 
105 
(M 
571 

(x)'" 
96 
(x) 



938 
82 
6,337 
3,003 
1,071 
542 
(.'■) 

73 
95 

(M 

448 

(x)'"' 
85 
(x) 



33,749 



14,179 



9,119 

4,190 

334 

159 

201 

34 

101 

20 

21 

5.064 



4,123 
941 



671 
117 



266 
242 
310 

29 

33 
109 

25 
3 

89 

1.226 



630 

61 

134 

322 

79 



147 
168 
394 
48 

5,806 

760 



115 

166 

395 

84 



611 
162 



186 
2.199 



313 
24 

358 

367 
51 
72 

311 
27 
53 

156 
83 
2 
14 
22 
48 

298 



See footnotes at end of table. 



INVENTORIES 



10.39 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Con. 

Stous, Sales, and Mbrchandub Invbntoriu 

(Stt text for expbiutory mateml] 



Kind of bvuincM 



North Dakota 



Large stares and multiunits 



Stores 



(Atumber; 



Sales, 
entire 
year 
(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small singk'unit stores 



Stores 

plumber) 



Sales, 
entire 
year 

(Thousarxd 
dollars) 



Ohio 



Large stores and multiunits 



Stores 



(Humber) 



Sales, 
entire 
year 
(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 

dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small single-unit stona 



Stares 



Sales. 

entire 

year 

(Jhoutand 

dolUri) 



State, total 

Food ftroup 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets . . ; 

Candy, nut, confectionery stores. . . .■ 

l^iry products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

An other food stores 

Eating and drinking places 

Eating places ....>. 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys* clothing, furnishings stores .... 

Family clothing stores 

Women's rcadyto-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Futiiers, fijr shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home tenisbing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building mateiiab dealers 

Plumbing, paint, electrical stores 

Hardware stores , 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fiiel oil dealers 

Ice dealers 

Feed, ^rm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

norists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores : 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store madune and equipment dealers . 
AB other retail stores 



70 

205 

7 

1 

1 

17 



a 

1 

2 

61 
2 

30 

15 
26 



248 
18 
92 

3*6 



iU,379 



61,227 



6,080 



193 . 803 



21,675 



5,337,745 



515,077 



456,413 



65,296 



50.484 



2.873 



7,886 
40,186 
(M 
()t) 
(x) 

1,415 



646 
2,170 
(M 
(x) 
Cx) 
29 



2.820 



1,247 



45,369 



691 
2,070 
(M 
(x) 
(x) 
30 



6,780 
5,300 



6,663 

46,885 



21,756 

19,761 

5,368 



165 
578 



1,202 
6,602 



7^046 
2,295 
9,030 



1,670 

1,001 
(x) 

15,969 



3,137 

2,690 

775 

3.709 



159 
649 



1,121 
6,130 



479 

532 

65 

1 

51 

11 

50 

2 

6 

1.625 



834 
791 



15,045 

25,311 

CM 

(x) 

(x) 

148 
1,672 
(x) 
56 

,37.843 



5.514 



506 

3,154 

384 

170 

323 

583 

250 

68 

76 

1.928 



1,185,17b 



38,410 



59,303 

846, 708 

59,028 

3,449 

17,021 

157,095 

14,114 

9,116 

14,342 

198.849 



3,086 

30,518 

788 

147 

794 

1,890 

233 

72 

882 

5.200 



38.253 



3,446 

30, 114 

796 

129 

761 

1,772 

285 

68 

882 

5.936 



19.380 



3,387 

9,656 

i,161 

914 

1,563 

540 

915 

302 

942 

15.338 



8,825 
(x) 
(x) 
(x) 
(x) 

105,655 
96,824 
5,353 
(x) 
(x) 

17, 545 

119.536 



1,616 
506 
967 
(x) 

418 

174 
Cx) 

3,357 



3,120 

2,341 

669 

3.241 



15,922 
21,921 

3,645 

4,577 



1,262 
666 



1,020 



1,417 
479 
812 
(x) 

356 



(x) 
2,745 



2,578 
1,999 

7.601 



147 
357 
516 



146, 889 
51,960 



13,308 
925,203 



714,189 
81,226 
129,793 

366.413 



3,314 
1,386 



1,335 
107-,357 



3,825 
2,111 



1,822 



79,126 
13,426 
15,305 

54.190 



77,880 
11,939 
14,238 

51,704 



1,893 
(x) 
(x) 
(x) 
(x) 

13,926 



1,675 
Cx) 
(x) 
(x) 
(x) 

10,168 



41 
11 
6 
130 
26 



2,566 

1,197 
2,207 

(x) 

(x) 

1,061 

' 127 

136 

(x) 

7,264 



421 

214 

499 

100 

59 

587 

47 

25 

30 

1,443 



87,959 
69,419 
115,602 
2,716 
7,718 
66,576 
7,406 
7,039 
1,978 

272,197 



1,707 
(x) 
Cx) 
Cx) 
Cx) 

9,318 



33,851 
2,966 
12,841 
69,878 

7.184 



12,738 
416 
Cx) 
Cx) 

2,265 

23,781 



711 
111 

57 
511 

53 

2,883 



157,187 

19,416 

14,384 

72,755 

8,455 



16,505 

10,770 

11,244 

116 

644 

12,340 

1,041 

1,145 

385 

51,788 



16,469 

10, 903 

10, 100 

84 

488 

11,335 

934 

1,045 

346 

45,425 



7,391 

380 

2,358 

13,152 

1,061 



9,308 
214 
Cx) 
Cx) 

1,954 

17.817 



85 

22 

133 

19 



5,591 

298 

2,435 

9,493 

960 



81 

78 

382 

227 



4,862 
1,168 

Cx) 

Cx) 

21,436 
33.684 



6,621 
563 

1,619 

Cx) 

Jxl 



1,683 

1,314 
1,742 

(x) 

Cx) 

Cx) 

Cx) 

Cx) 

Cx) 

Cx) 

Cx) 

Cx)'" 

Cx) 

Cx) 



1,004 
57 



Cx) 



903 
57 



125 
54 



3,696 
2,857 
14,716 
12,415 

7.190 



1,893 

466 

431 

93 

1,110 

2.177 



877,343 
119,247 
58, 290 
17,900 

125,294 

500.396 



34,182 
3,631 
1,100 

11,526 
1,349 

97,862 



75,008 
8,974 

11,554 
2,326 

6,021 

73.642 



31,279 

2,836 

970 

9,171 

1,169 

71,766 



52,643 
7,669 
9,407 
2,047 

4,676 

66,006 



345 
383 
491 
458 



Cx) 
Jxi. 



Cx) 
Cx) 
Cx) 
Cx) 
Cx) 
Cx) 
Cx) 
Cx) 

Cx)' 

Cx) 

Cx) 



156 
469 



(x) 
Cx) 
Cx) 
Cx) 
Cx) 
Cx) 
Cx) 
Cx) 

Cx)' 
Cx) 
Cx) 



135 
383 



5,555 
1,635 

7,583 

Cx) 

JxL 



1,030 
92 
608 

2,403 
Cx) 
Cx) 
Cx) 
Cx) 
Cx) 
Cx) 
Cx) 
Cx) 

92 
Cx) 
(x) 
Cx) 



738 
51 



2.282 



281,103 
45,805 
99,113 
74,375 

131.372 



126, 894 
4,478 

119,180 

6,967 

420, 905 



38,390 
7,861 
19,493 
12,898 

15.464 



14,724 
740 



7,115 



1,179 



49, 514 



31,332 
7,144 

17, 651 
9,379 

14.282 



413 
43 

693 

255 
97 
54 
93 

188 
50 
31 
76 
19 
32 
52 



79,037 

4,456 

195,865 

42,991 

20,768 
9,286 
6,414 

17,075 
4,285 
1,019 
9,325 
2,958 
2,320 
7,146 
1,391 

16,069 



6,098 

80 

15,445 

13,334 

3,135 

2,111 
171 
930 
223 
169 

2,272 
697 
292 

1,425 
270 

2,362 



13,697 
585 



6,818 

1,060 

44,608 



4,209 

50 

14,581 

13,146 

2,841 

1,823 
151 
842 
214 
139 

1,973 
683 
249 

1,257 
242 

2,203 



6,601 
8,737 



530 
462 



734 
286 
631 
219 
130 
619 
220 
62 
250 

2,875 



691 
270 
474 
1,079 
361 

1,996 



450 
548 
735 
263 

7,882 

3.399 



404 
1,065 
1,469 

461 

1.878 



1,510 
368 

1,068 



6.055 



631.168 



76,203 
380,920 
50,421 
16,780 
24,646 
19,137 
25,656 
9,835 
27, 570 

425.937 



156,047 
269,890 

18,472 

28.281 



15,972 
12,309 



99,815 



30, 103 
9,979 

20,893 
2,557 
2,706 

20,709 
4,133 
2,504 
6,231 

87,359 



28,396 
9,643 
6,496 

36,459 
6,365 

76,710 



25,373 

22,270 

20,930 

8,137 

253,620 

127.316 



13,791 
32,009 
53,210 
23,306 

85.073 



72,186 
12,887 

29,109 

9,922 

162.646 



764 


32,488 


122 


1,490 


464 


19,028 


897 


26,214 


158 


4,614 


399 


3,959 


699 


15,737 


498 


8,756 


204 


5,713 


350 


4,669 


292 


7,314 


25 


958 


83 


1,941 


107 


3,090 


107 


3,788 


836 


17,887 



See footnotes at end of table. 



10.40 



RETAIL TRADE-GENERAL STATISTICS 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS-^STATE, BY KIND OF BUSINESS: 1948— Coa 

StORBS, SaLBD, and MbRCHANDISE iNVBNTORIXa 

[See text for explanatory material] 



Kind of business 



Oklahoma 



Large stores and multiunits 



(Number) 



Sales, 
entire 
year 
{Thousai\d 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



Beginning 
of year 

(Thousar%d 
dollars) 



Small singlc'unit stores 



Stores 
(Karnber) 



Sales, 

entire 

year 

iiThousand 

dollars) 



Oregon ■ 



Lari^ stores and multiunits 



Stores 



(>^umber) 



Sales, 
entire 
year 
{Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



Beginning 
of year 

(TTiousand 
dollars) 



Small single-unit stcica 



Stores 
(Number) 



year 

{Thousand 
dollars) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Frxiit stores, vegetable markets 

Candy, nut, confectionery stores 

IXiry produas stores, milk dealers 

Bakery products stores 

Egg. poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fiir shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home mmishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

IHonsts 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers. 
All other retail stores 

See footnotes at end of table. 



36 

839 

10 

3 

8 

16 

1 

-; 



169 
51 



37 
237 

175 



70 
79 
130 
12 
11 
62 
2 
3 



185 

10 



136 
1 



680 

163 

171 

15 



562 
53 
87 

266 



173 
3 



1,091,957 



U5,299 



21,756 



5*8,058 



1,206,318 



133,3-t8 



116,430 



12,833 



209,883 



10.183 



2,721 
191,192 
(x) 
(x) 
(x) 
10,070 

1,870 
(x) 
(x) 

16,596 



206 
9,585 
(x) 
(x) 
(x) 
143 
53 
(x) 
(x) 

394 



204 
9,509 
(x) 
(x) 
(x) 

61 
53 
(x) 
(x) 



5,6 



15,116 
1,480 



7,657 



291 
103 



1,285 
24, 925 



2*4 

101 



1,255 
23,938 



1,584 
3,836 
37 
48 
152 
36 
159 
18 
28 

4,944 



148,178 



19,017 
119,649 
(x) 
(x) 
(x) 

898 
4,066 
(x) 
(x) 



1.138 



266,656 



11,620 



124 

801 

87 

14 

26 

37 

41 

6 

2 



17,169 
217,836 

14,582 
1,158 
1,737 

11,670 
1,462 

(x) 

(x) 

33,007 



1,182 

9,973 

269 

20 

40 

106 

14 

(x) 

(x) 

667 



11,412 



1,162 

9,792 

238 

24 

63 

97 

15 

(x) 

(x) 

651 



3,233 

1,711 



166 
585 



54,293 
23,927 



5,316 
18,603 



44 
233 



28,033 
4,974 



8,621 

207.310 



516 

151 



1,420 
31,072 



539 
112 



1,309 
30,666 



85,402 
59,609 
27,640 

70.097 



12,416 
21,924 
25,651 

438 
(x) 

8,196 
(x) 
(x) 

510 

54,225 



11,761 
■9,143 
4,021 

11.422 



2,568 
4,221 
3,052 
40 
(x) 
1,303 
(x) 
(x) 

66 

10.541 



10,953 
9,241 
3,744 

10,449 



362 
223 



2,053 
3,988 
2,818 
38 
(x) 
1,297 
(x) 
(x) 

62 

8,768 



123 
153 
229 
20 
19 
101 
32 



13,161 
5,442 



25,566 



33 

117 

83 



5,537 

6,123 

7,834 

172 

(x) 
3,797 

(x) 

(x) 
1,163 

29,349 



101 

21 

115 

11 

7 

54 

2 

6 

5 



155,250 
36,656 
15,404 

54,873 



34,139 
2,658 
(x) 

15,867 
(x) 

295,289 



7,511 
444 
(x) 

2,500 
(x) 

30,882 



6,455 
323 
(x) 

1,935 
Cx) 

22.356 



380 
39 
75 

340 
58 



13,093 
1,304 
(x) 

12,888 
(x) 

41_,081 



158 
18 
12 

127 
7 



18,596 
3,037 
23,823 
244 
664 
7,052 
(x) 

946 
(x) 
60.308 



23,283 
5,403 
2,386 

9,894 



4,341 

844 

2,998 

6 

64 

1,318 

(x) 

234 
(x) 
12.202 



23,258 
5,171 
2,237 

9.122 



230,399 

38,887 

22,736 

3,267 

19,147 

169,036 



23,685 

2,710 

4,145 

342 

1,251 

33,702 



16,157 

2,478 

3,442 

279 

1,121 

27,458 



217 

290 

484 

41 

3,560 

1,137 



104,549 

8,611 

11,451 

44,425 

(x) 



21,279 
1,348 
2,984 
8,091 

(x) 



17,934 
1,117 
2,591 
5,816 

(x) 



191 
277 
439 
230 



12,201 
12,477 
15,103 
1,300 

80,978 

4'5,170 



437 
98 
90 
22 

281 

551 



35,749 
2,666 
3,343 

18,024 
526 

266.350 



7,962 
9,124 
15,989 
12,095 

(x) 



280 
48 
109 
114 



224,398 
22,537 
13,948 
5,467 

26,969 

123,653 



8,491 
726 
334 

2,587 
64 

26,287 



3,758 

791 

2,983 

7 

63 

1,193 

(x) 

244 
(x) 
10,143 



7,225 
638 
286 

1,951 
43 

18,566 



60,507 
10,692 
21,311 
31,143 

21,831 



21,592 

1,900 

2,158 

637 

1,414 

19,805 



14,451 

1,513 

1,998 

604 

1,075 

15,461 



8,169 
1,277 
4,747 
5,612 

3,553 



6,550 

991 

4,093 

3,827 

3.371 



26,947 
(x) 

(x) 

2,088 

48.273 



5,618 

13,594 
8,459 
4,598 
1,419 

(x) 
3,357 
617 

(x) 

4,147 
1,292 

1,331 
(x) 
1,344 



3,360 
(x) 

(x) 

394 

6.952 



3,146 
(x) 

(x) 

375 

6.208 



417 
(^) 
1,147 
2,355 
764 
383 
(x) 
150 
72 
(x) 
717 
264 



359 
(') 
1,026 
2,056 
704 
359 
(x) 
142 
75 
(x) 
566 
226 



692 
179 



1.432 



(x) 



239 



(x) 



208 



46 
46 
304 
222 
66 
114 
142 
35 
63 



19 

58 

159 



28,840 
(x) 

(x) 

4,865 

36.333 



154 
6 



1,950 
(M 

10,570 
6,257 
1,799 
2,515 
(x) 
475 
764 
(x) 
1,366 
238 
138 
555 
(x) 
3,325 



84 
1 
177 
62 
28 
17 
23 
15 
6 
15 
19 

4 
9 
3 
23 



21,226 

605 



39,261 
2,011 



95.468 



3,467 
86 

2,826 

262 

12.326 



3,253 

118 

2,801 

272 

11.581 



19,281 

(x) 

43,072 

10,290 

10,529 

1,643 

1,684 

703 

(x) 

(M 
2,862 

(x)"' 
812 
(x) 
2,593 



692 
(x) 

4,680 

3,283 

1,705 

383 

112 

33 

(x) 

(M 

616 

(x)"" 
222 
(x) 



835 
(x) 

4,460 

2,930 

1,602 

389 

93 

34 

(x) 

(M 

489 

(x)"" 
183 
(x) 



2,745 



788 

1,342 

196 

72 
100 

38 
162 

20 

27 

3,372 



2,152 
1,220 



111 
231 



113 
49 

165 
23 
7 
82 
38 
15 
72 



162 
49 
64 

186 
57 



67 

143 

116 

56 

2,130 

676 



129 

170 

318 

59 



314 
66 

10 

280 

1.306 



118 
3 

106 

186 
51 

158 

124 
57 
27 

146 
52 
13 
8 
26 
36 

195 



INVENTORIES 



10.41 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS-STATE, BY KIND OF BUSINESS: 1948— Coa 

SroRBa, Sales, and Merchandise Inventories 



(See text for explanatory matnUlj 



Kind of business 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, Bsh markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

I^iry products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

AU other food stores 

Eating and drinking places 

Eating places 

Drinlang places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home mmishing stores 

Household appUance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers j . . . 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores.. 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Horists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores i 

Camera, photographic supply stores 

Office, store machine and equipment dealers. 
AU other retail stores 



Pennsylvania 



Large stores and multiunits 



Stores 
(Number) 



25,982 



6,970 



1,193 
3,^9-4 
SIX 
221 
364 
588 
373 
117 
116 

1.772 



1,276 
496 



161 

3^5 
681 

3,293 



680 
269 
859 
146 
260 
<?60 
31 
73 
115 

1.923 



122 
94 

758 
82 

3,359 



2,473 

389 

444 

48 

1,041 

1,823 



771 
361 
425 
266 

806 



648 

158 



2,811 

28 

764 

339 

123 

70 

106 

213 

180 

68 

104 

14 

58 

50 

12 

201 



Sales, 
entire 
year 
(TTiouiflTid 
dollars) 



6,398,636 



1.444,705 



98,193 
983,609 
62,377 
15.115 
24,206 
205,606 
24,173 
11.157 
20,269 

202,529 



169,802 
32,727 



53,552 



948,908 
95,925 

207,875 

533,807 



122,802 
51,840 
207,245 
4,999 
19.743 
96,918 
3,525 
16,781 
9,954 

382,251 



219,893 
21,602 
22,607 

101,475 
16,674 

1,177,335 



1,016,653 

102,007 

50.292 

8,383 

81,534 

442,658 



238,563 
52,969 

100, 189 
50,937 

105.995 



94.274 
11,721 



203,043 
5,372 



513,147 



129,911 

(x) 

200,224 

50,844 

21,882 

13.1^3 

6.686 

30,533 

10,832 

1,999 

13,^35 

1,842 

3.652 

9.240 

2.002 

(x) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
ioWars) 



bbl,l\9, 



50,889 



6,640 

36,958 

891 

308 

1,238 

3.057 

389 

66 

1,342 

4,615 



3,333 
1,282 



114,973 
15,466 
22,571 

84,077 



25,046 

9,328 

21,525 

319 

2,449 

19.159 

352 

4,070 

1,829 

71,942 



46,939 
4,366 
2,325 

16,077 
2,235 

116,225 



97,530 
7,921 
9,609 
1,165 

4,097 

74,875 



34,937 
8,175 
21,385 
10,378 

14,747 



13,012 
1,735 

18,945 

1,418 

64,338 



9,083 
(x) 

17,911 

16,963 

3.585 

3,581 

237 

2,200 

550 

487 

3,065 

369 

444 

1.915 

397 

(x) 



Beginning 
of year 

dollan) 



602,328 



51,121 



7,196 

867 

301 

1,071 

3,011 

384 

68 

1,447 

4,580 



3,313 
1,267 



110,954 
14,830 
22,907 



21,743 

9,023 

20,431 

253 

2,315 

17,751 

296 

3.791 

1,636 



42,159 
3.405 
2,157 

13,335 
1,851 

85,515 



70, 629 
5,842 
8,043 
1,001 

3,508 

63,044 



28,717 
7,395 

19,210 
7,722 

13,613 



12,104 
1,509 

20,802 

3,367 

60,059 



7.220 
(x) 

19,208 
15,813 
3,127 
2,985 

207 
1,907 

493 

485 
2,595 

309 
. 427 
1,578 

354 
(x) 



Small singlenjnit stores 



Stores 



103,914 



35.592 



10,839 

ir,340 

2,075 

1,806 

4,899 

809 

1,493 

775 

556 

23.585 



9,721 
13,864 



1,578 



1,105 
473 



6,871 



1,479 
455 

1,737 
402 
686 
929 
427 
167 
589 

4,058 



952 
412 
842 
'1.477 
375 

1.947 



600 
425 
736 
186 

11,076 
3,542 



443 
1,175 
1,590 

334 

3.455 



2,796 
659 



9,983 



1.176 
196 
536 

1,261 
361 
469 

1,063 

1,496 
493 
951 
412 
55 
120 
124 
113 

1.157 



Sales, 

entire 

year 

(T/ioujand 

dollars) 



2,670.795 



Rhode Island. 



Large stores and multiunits 



Stores 



1^936 



380,667 



193,492 
442,782 
75,299 
26.589 
51.238 
26,304 
37, 293 
13,439 
14,231 

538.102 



195,450 
342,652 



26,140 



38.476 



25,720 
12,756 

194,387 



53,085 

14,154 

53,972 

5,399 

12,288 

29,660 

7,217 

5,339 

13,273 

125,745 



38,963 
12,930 
13,632 
50,391 
9,829 

80,359 



35,675 
16,488 
23,245 
4,951 

279,042 
120, 160 



21,472 
32,172 
50, 934 
15,582 

126,477 



107,097 
19,380 

24,090 

10,403 

226,747 



37,876 
(=t) 

23,640 

33,727 

8,603 

10,297 

21,778 

20,810 

12,487 

11,102 

9,042 

,1,468 

2,664 

3,759 

3,795 

(x) 



507 



119 

255 

20 

6 

40 

42 

17 

2 

6 



147 

30 



Sales, 

entire 

year 

(Thousand 

dollars) 



501,770 



128,893 



11,746 
84,602 
3,985 
1,236 
3.283 
21,765 

(M 

(x) 
855 

19.517 



17,102 
2.415 



50.331 
4,464 
14,163 

54.866 



176 

47 

32 

6 

52 

89 



8,315 

8,008 

25,604 

1,600 
8,897 

(x)"" 
1,614 

27.558 



16,031 
1,608 

(x) 
8,084 

(x) 

94,392 



76,587 

11, 872 

5,229 

704 

3,915 

34,323 



21,368 
(=e) 

10,638 
(x) 

12,959 



82~ 

2 
34 
21 
11 

5 

9 
26 
11 
10 

9 

2 

1 

5 



12, 670 
289 

5,185 

471 

50,733 



28,975 
(x) 
7,727 
4,554 
1,602 
272 
607 
2,377 
(') 
(M 

742 
(x) 
(x) 
991 

1,413 



Merchandise inventories, 
at cost 



End of year 

(Thousand 

dollars) 



49, 100 



4,178 



773 

2,959 

«4 

9 

111 

175 

(') 

(x) 

68 

629 



494 
135 



5,951 

911 

1,891 

6.996 



1,672 
1.139 
2,143 
(M 
303 
1,429 

(x)'" 
223 

5,430 



3.691 
241 
(x) 

1,224 
(x) 

9,585 



7,454 

1,007 

1,011 

113 

246 

5,856 



3,269 
Cx) 

2,052 
(x) 

1,761 



1,713 
48 

879 

87 
4,700 



1,864 
(x) 
471 
1,316 
276 
32 
39 
128 
(M 
(M 

185 
(x) 
(x) 
146 

137 



Beginning 
of year 

(Thoutand 
dollars) 



44,449 



4.451 



900 

3,057 

68 

14 

131 

204 

(M 

(x) 

56 

643 



513 

130 



8.761 



5,916 

855 

1,990 

6.055 



1,289 
933 

1,966 
(M 
282 

1,327 

(x)"' 



4.676 



3,188 
174 
(x) 

1.133 
(x) 

7,182 



5,346 
827 
871 
138 

199 

5,429 



3,036 
(x) 

1,932 
(x) 

1,694 



1,649 
45 



4,354 



1,543 
(x) 
524 
1,251 
300 
31 
35 
97 
(M 
(M 

199 
(x) 
Cx) 



Small singlcunit stares 



Stores 
( Number) 



8^435 



2,540 



703 

1,122 

110 

86 
214 

38 
189 

42 

36 

1.890 



949 
941 



143 

61 



111 
47 

113 
42 
54 
86 
37 
12 
54 



129 
38 
75 
57 
50 



11 
65 
31 
22 

1,013 

225 



""23" 

73 

127 

2 



208 
79 



149 
32 
18 
67 
24 
41 
98 

121 
93 

104 
27 
7 
10 
13 
16 
96 



Siles. 

entire 

year 

(Thousand 

dollgTs) 



214,294 



65,159 



10,151 

39,485 
3,355 
1,278 
3,098 
1,541 

(M 

(x) 
1,090 

39.572 



18,787 
20,785 



2,607 
1,451 

14.617 



3,694 
1,679 
2,846 
(M 

948 

2,398 

395 

Cx) 

1,301 

10.547 



4,918 
1,083 

Cx) 
2,261 

Cx) 

4,169 



620 

2,599 

646 

304 

26,731 

6,765 



Cx) 
3,8 

Cx) 

12,620 



9,462 
3.158 



9,211 



920 



19,694 



5,043 
Cx) 
954 
1,718 
568 
744 
1,529 
1.855 
CM 
CM 

359 

Cx) 

Cx) 

212 

566 

1,414 



See footnotes at end of table. 



10.42 



RETAIL TRADE— GENERAL STATISTICS 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

Stokbs, Sales, and Mskchandisi Invbntokibs 
[See text for explanatory material] 



Kiixl of business 



South Carolina 



Large atoccs and multiunits 



Stores 
(>tumber) 



Sales, 
entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Sfflatl single-unit stores 



Stores 
(>iumber) 



Sales, 

entire 

year 

(Thousand 

dollars) 



Larf$e stores and multiumts 



Stores 
(^jumber) 



Sales, 
entire 
year 
(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 
dollars) 



Bednning 
of year 

(TTiousand 
dollars) 



Small siogktmit stores 



Stores 
Clumber) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat Eoarlcets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Diiry products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, fiimishings stores 

Family clothing stores , 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores 

Shoe stores 

Custom tailors 

Furriers, fur shcms 

All other apparel stores 

Furniture, furnishings, appliance group, 

Furniture stores 

Floor covering, drapery stores ' 

Other home mmishing stores 

Household appliance stores 

Radio stores 

Aufomotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers '. . 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores , 

Liquor stores , 

Second-hand stores 

Other retail stores 

Fuel, fiiel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Rorists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine ana equipment dealers. 
All other retail stores 



4,112 



867 



111 
681 
24 
1 
22 
20 
6 



205 
30 



79 
451 



51 
226 
174 



L5 



245 
6 

5 
101 

1 



114 
82 



119 
20 

109 
78 



9 



56 

U 

139 

46 

10 

S 

9 

12 

8 

5 

13 



743,800 



69,092 



60,996 



16,858 



404,379 



2,102 



400,082 



55,598 



47,600 



6,391 



M3,982 



6,427 
128,900 
2,378 
(x) 

568 
3,621 

11,939 



6,255 



3§4 

5,607 

44 

(x) 

25 

47 

m'" 



5,633 



350 
5,063 
34 
(x) 

33 
24 



6,943 



11,251 
688 



12,127 
120,191 



46,933 
43,399 
29,859 

57,187 



191 
7 



1,169 
16,491 



10,915 

14,960 

24,637 

415 

5,751 
Cx) 

(x)*" 

50,720 



5,362 
7,007 
4,122 

6,477 



165 
6 



1,095 
15,328 



3,683 
2,904 
127 
75 
48 
31 
56 
11 



2,512 



134,833 



2,133 
379 



43,164 

84,552 
2,751 

(x) 
506 
921 

(^) 
309 

(x) 

33,056 



222 

3 
2 

1 
11 



57,532 



37,450 
799 
U) 

U,527 
(x) , 

191,44A 



1,734 

1,754 

2,'206 

11 

712 
(x) 

(x)*" 
7,049 



4,636 
5,804 
3,838 

5,959 



29,740 
3,316 



11,318 
15,444 



57 
114 



6,024 
49,037 
(x) 
(x) 
(x) 

1,831 



5,897 



3,221 



2,722 
(x) 
(x) 
(x) 

48 
(M 



3,293 



2,775 
(x) 

(x) , 
(x) 

44 
e) 



1,364 



389 
82 



155,456 
24,560 
10,057 
1,371 

13,182 

75,967 



5,372 

135 i 
(x) 

1,462 
(x) 

13,849 



1,522 

1,717 

1,994 

11 

653 
(t) 

(x)'" 
5,813 



132 

122 

161 

15 

10 

56 

17 

1 

39 



13,261 
2,183 

20,284 



3,752 
2,U5 



13,105 
47,273 



25/295 
15,421 
6,557 

18,912 



83 
164 



2,040 
6,970 



3,770 
2,243 
957 

3,328 



74 
185 



1,961 
6,591 



3,596 

2,115 

880 



34,201 
3,638 
25,107 

13, oa 

15,717 



11,240 

1,032 

1,493 

34 

634 

9,649 



4,622 
97 
(x) 

1,053 
Cx) 

11,690 



297 
32 
68 

137 
17 



5,681 
5,150 
5,645 
304 
109 
2,221 
(X) 
(x) 
(x) 

19,500 



1^,350 
367 

9,508 

763 

41,073 



3,379 

520 

4,205 

1,545 

1,724 



9,544 
777 

1,252 
117 

570 

8,183 



gj 

116 
204 
, 15 

2,315 



11,952 
931 
(x) 
5,161 
(X) 

19,350 



4,701 
1,834 
9,624 

(x) 

(x) 
2,199 

W 

(x) 



15,388 



9,197 

(x)' 
(x) 



97,776 



1,166 
533 
1,093 
(x) 
(x) 

425 
(x) 
(x) 



2,905 



1,694 
30 

753 

170 
4,674 



2,586 

483 

3,833 

1,231 

1,488 



67 
78 
202 
45 



5,312 

5,231 

8,215 

5^ 

53,723 

17,078 



270 
28 
29 

7 

123 
648 



1,459 
29 



161 
4,084 



9,135 
1,718 
18,867 
4,866 
1,844 
989 

("■) . 

647 
(x) 



(x) 
(x) 



503 
103 
1,280 
1,758 
259 
258 

38 
(x) 



(x) 
(x) 



335 
48 
1,266 
1,500 
236 
243 

38 

(x) 

^xl 



(x) 

0) 



397 
48 



121 



1,000 



3,457 
2,185 
9,021 
2,415 

19,512 



278 
14 
79 

277 



83,700 
7,338 
(x) 
(x) 

14,150 

106,123 



1,733 

(x)' 
(x) 



11,614 



1,132 
443 
980 

(x) 

(x) 
335 

(x) 

(x) 



2,312 



17,860 
1,652 



31,255 
2,030 



26,996 



40,446 
1,596 
10,556 
53,530 

JxL 



9,749 
637 
(x) 
Cx) 

1,278 

20,457 



1,403 

(x)' 
(x) 



9,837 



127 


4,902 


14 


244 


152 


6,307 


189 


5,042 


25 


696 


47 


1,359 


176 


CM 


6 


119 


23 


Cx) 


53 


{xi 


41 


4 


140 


U 


343 


10 


Cx) 


12 


Cx) 


100 


CM 



6,583 
Cx) 

3,452 



(x) 



8,456 

339 

2,300 

9,362 

Cx) 



8,299 
541 
Cx) 
Cx) 

1,108 

15,329 



1,228 
Cx) 



Cx) 



6,360 

193 

1,984 

7,287 

Cx) 



Cx) 



"132 



1,081 
Cx) 



Cx) 



Cx) 



Cx) 
Cx) 
Cx) 
Cx) 
Cx) 



791 
383 



711 
357 



Cx) 
Cx) 



"293" 

813 

61 

8 

61 

28 

72 

9 

14 

1,543 



899 
644 



76 
138 



74 

6 

14 

184 

30 



109 
50 

106 
27 

1,113 

804 



71 
115 
377 
241 



223 



33 
432 



See footnotes at end of table. 



INVENTORIES 



10.43 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

Stous, Saus, and MsKCHANDira Invintouis 



[See text foe eiphiatofy natqul) 



ICind of busincM 



Tenncaaee 



Large ttores and multiunits 



(Number) 



Sales, 
entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 

dollars) 



Beginrung 
of year 

(Thousand 
dollars) 



Small single'umt stores 



Stores 
(Number) 



Sales, 

entire 

year 

(Thousand 

dollars) 



Texas 



Large stores and multiunits 



Stores 
(Number) 



Sales, 
entire 
year 
(Thousand 
dolUira) 



Merchandise inventories, 
at cost 



End of year 

(Thousand 

dollars) 



'Beginning 
of year 

(Thousand 
dollars) 



Small singlcunit stora 



Stores 
(Humher) 



Sales, 

entire 

year 

(Jhouonil 

doUars) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

G^dy, nut?, confectionery stores 

Dairy products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

/Ul other food stores 

Eating and drinking places 

Eating places 

E)rinlang places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores .... 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers^. 

Tiie, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

?Iardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stares 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 



1.440,170 



160,509 



U3,857 



26,130 



648,269 



21,611 



4,729,750 



546,525 



466,040 



69,063 



1,381 



1,150 
10 
4 
28 
62 
17 
5 
6 

489 



390 
99 



82 
572 



53 
303 
216 



107 

163 

188 

24 

14 

131 

7 

5 

17 



310 
11 
13 

171 
3 



618 

191 

99 

20 



62 
161 
145 

218 



204 
14 



534 
~9S 



22 

140 

95 

15 

19 

23 

19 

9 

9 

31 

5 

5 

12 

5 

27 



242,161 



11,615 



11,296 



10,398 



8,735 
2U,079 
(x) 
W 
(x) 

10,680 
(x) 
(x) 
4,283 

33,077 



705 
10,295 
(x) 
(x) 
(x) 

168 
(x) 
(x) 

248 

616 



649 
10,030 
(x) 
(x) 
(x) 

U9 
(x) 
(x) 

274 

565 



30,103 
2,974 



10,507 
285,562 



203,379 
48,522 
33,661 

116,774 



548 
68 



1,595 
38,713 



19,658 

29,737 

45,813 

864 

1,096 

16,711 

454 

1,208 

1,233 

87.209 



25,408 
8,603 
4,702 

16,942 



494 
?1 



1,486 
38,062 



5,922 

4,006 

78 

108 

135 

24 

84 

17 

24 

4.887 



a7,593 



3,347 
1,540 



1,235 



72,268 
136,226 
(x) 
(x) 
(x) 

853 
(x) 
(x) 
•• 552 

81.772 



4,383 



58,437 
(x) 
. 2,867 
23,392 
(x) 

356,114 



4,029 

5,283 

4,165 

15 

94 

2,833 

81 

165 

277 

15,526 



25,728 
8,031 
4,303 

15,049 



61,769 
20,003 



30,514 
25,442 



506 
3,515 
81 
14 
67 
101 
55 
31 
13 

1,803 



9-27,127 



1,273 
530 



136 
1,525 



48,160 

816,165 

8,953 

1,803 

2,374 

33,113 
4,816 
6,600 
5,143 

122,132 



42,052 



3,143 
37,274 
258 
27 
112- 
561 
161 
154 
362 

2,236 



40,404 



630 
178 



11,353 
(x) 

151 
3,540 
(x) 

31,872 



3,433 

4,840 

3,710 

19 

89 

2,517 

75 

isl 

13,141 



140 
177 
180 

35 

25 
100 

51 
4 

51 



21,306 
4,136 

25,631 



110 
776 
639 

1,636 



107,509 
14,623 



29,717 
791,290 



277,335 
55,527 
19,945 
3,307 

30,250 
138,382 



72,082 

8,601 

30,990 

26,709 

30,469 



24,881 

3,081 

3,420 

490 

1,311 

22,770 



9,949 
(x) 
124 

2,654 
(x) 

27,944 



424 

49 
112 
321 

55 



5,617 

7,260 

5,553 

683 

383 

3,767 

1,243 

137 

988 

34,426 



29,966 

503 

31,718 

2,751 

75,196 

(x) ' 

24,892 

15,237 

1,985 

2,769 

2,718 

il.,894 

397 

(M 

3,244 

824 

504 

1,296 

(M 

2,057 



9,468 
1,473 
7,063 
4,766 

4,064 



22,168 

2,713 

2,762 

301 

1,495 

17,541 



124 

163 

300 

29 

2,833 

841 



17,040 
(x) 
2,072 
12,479 
(X) 

25,308 



283 
377 
531 

36 

43 
313 

13 
4 

31 

1,516 



495,888 
187,299 
108,103 

332,900 



1,594 
642 



4,357 
111,367 



3,103 
35,605 
196 
33 
125 
647 
163 
134 
398 

a.200 



19,834 



699 
49 

71 
683 

14 

3,174 



59,043 

92,997 

121,787 

1,779 

5,143 

46,461 

(x) 

(x) 
2,648 

253.304 



65,706 
30,317 
15,344 

52,852 



1,580 
620 



3,981 
106,763 



6,WJ 
11,290 
340 
231 
441 
61 
555 
119 
95 

15,382 



9,913 
5,469 



939 
1,866 



65,566 
27,156 
14,041 

46,717 



1,140 
726 



2,223 



7,473 
1,337 
5,720 
3,011 

3.690 



174 

158 

417 

92 



6,841 

7,165 

10,035 

1,267 

82,481 

34,673 



3,985 
79 



3,067 
572 



11,346 



(x) 

2,219 

5,576 

302 

610 

105 

90 

11 

(M 

616 

220 

29 

211 

(M 

245 



3,617 
73 



2,894 



1 0,129 
x) 



624 
171 

193 

228 

1,56.7 



8,103 

5,448 

16,367 

4,755 

32,136 



2,090 
529 
507 
48 

1,009 

2,956 



143,027 
8,741 
13,908 
86,462 
1,166 

1,111.587 



12,175 

17,608 

13,995 

86 

615 

7,345 

(x) 

(x) 

501 

47.103" 



29,959 
1,479 
1,371 

13,565 
229 

112.101 



9,742 
16,520 
12,465 

71 

572 

6,450 

(x) 

(x) 

488 

37,133 



1,707 
208 
356 
685 

904 



892,729 

129,222 

79,213 

10,423 

88,498 

605,192 



(x) 

2,042 

5,126 

264 

510 

111 

81 

12 

(M 

481 

224 

22 

198 

(M 

244 



259 
28 
268 
210 
45 

ex 

236 
' 47 

25 
101 

46 
8 

37 
158 



27,743 
4,393 

11,126 

3,755 

43,41g 

(x) 

9,863 

6,069 

1,079 

2,073 

5,236 

930 

559 

(^) 

1,159 

237 

124 

464 

3,468 



778 
126 



1,639 



388,033 
28,964 
52,895 

135,300 

130,629 



87,894 
9,157 

13,583 
1,467 

5,021 

105,373 



24,750 

917 

1,568 

9,721 

177 

79, %7 



472 
352 
689 
91 
44 
190 
116 
7 
262 

2,538 



994 
162 
348 

903 

131 

2,692 



121,561 
9,068 

67,089 

7,711 

262,574 



62,116 
4,384 
13,379 
25,494 

17,596 



163 
34 

553 

241 
65 
46 
98 
84 
25 
39 
82 
17 
37 
28 
27 

100 



23,704 

1,731 

109,537 

53,457 

16,239 
9,193 
5,099 
7,137 
3,009 
1,278 

12,406 
2,548 
2,797 
4,666 
2,807 
6,866 



16,423 
1,173 

10,830 

963 

34,674 



59,663 
7,559 

11,511 
1,234 

4,162 

84,913 
51,289 
3,351 
11,534 
18,244 

16,474 



534 

681 

a, 293 

184 

10,283 

2,688 



1,619 
19 

6,890 
15,047 

2,393 

2,263 
196 
365 
138 
365 

2,526 
541 
128 
705 
531 
946 



15,428 
1,046 

10,903 

847 

31,571 



691 
630 
951 
416 

2,401 



1,173 
18 

6,606 
U,057 

2,139 

1,928 
185 
340 
U3 
289 

2,144 
570 
105 
603 
416 
855 



1,669 
732 



1,749 
1,169 



5,299 



165 
226 
1,066 
719 
194 
256 
809 
157 
242 
282 
• 230 
30 
47 
54 
120 
702 



1,789.127 



512,801 



91,578 
384,326 

10,969 
3,015 
4,013 
1,839 

U,117 
3,925 
2,019 

265,242 



197,894 
67,348 



28,042 
57,211 



40,285 
16,926 

72,581 



18,535 

15,416 

20,714 

1,423 

806 

6,833 

(x) 

(X) 

5,954 

85.842 



37,298 
5,129 
7,223 

33,486 
2,706 

108,347 



30,347 

28,356 

44,200 

5,444 

261,311 

111,385 



32,160 
20,762 
35,588 
22,375 

91,025 



70,461 
20,564 

46,902 

15,337 

133,101 

TjCiS 

2,604 

42,584 

18,214 

4,264 

5,925 

14,656 

2,421 

■ 4,444 

3,503 

5,412 

843 

1,438 

1,414 

3,677 

1A,693 



See footnotes at end of table. 



10.44 



RETAIL TRADE— GENERAL STATISTICS 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS— STATE, BY KIND OF BUSINESS: 1948— Con 

Stoms, Saus, and Merchandise iNvsNTORiBa 
[See text for explanatory material) 



Kind of business 



Large stores and multiunits 



(TNfumber) 



Sales, 
entire 
year 

(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



Beginning 
of year 

(Thousand 
dollars) 



Small singk'unit stores 



Stores 
{T^jumber) 



Sales, 

entire 

year 

(Thousand 

dollaTs) 



Vermont 



Large stores and multiunits 



(J^umber) 



Sales, 
entire 
year 
{Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

(Thmisand 

dolldTs) 



Beginning 
of year 

{Thousand 
dollars) 



Small single-uiut stores 



Stores 



Qjumber) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, hsh markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

Dair>' products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready-tO'wear stores 

MilUnery stores 

Other apparel accessory, specialty stores 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group. 

Furniture stores 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, building, hardware group 

Lumberyards, building materials dealers 

Plumbing, paint, electrical stores . 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores. 

Luggage, leather goods stores 

Optical goods stores .- 

Camera, photographic supply stores 

Office, store machine and equipment dealers. 
All other retail stores 



16 

329 

8 

-V 

10 

15 

15 

2 

2 



155 
62 



124 



201 
30 



30 
28 
53 



7 
210 



438,969 



49,908 



45,043 



4,751 



139,798 



1,144 



218,327 



25,870 



22,978 



3,931 



84,797 



1,554 
77,105 
(x) 
(X) 
(M 

2,424 
(^) 
(x) 
(x) 

13,398 



3,934 



117 
3,640 
(x) 
(x) 
(M 

38 

(M 

(x) 
(x) 



4,059 



1,018 



103 
3,807 
(x) 
(x) 
(') 

34 
(^) 
(x) 
(x) 



273 

497 

17 

16 

112 

30 

56 

1 

6 



32,602 



50.755 



5,776 
21,480 
(x) 
(x) 
(M 

1,089 
(1) 
(x) 
(x) 

26,191 



77 
158 
3 
1 
7 

21 



11,528 
1,870 



8,439 



75,73 
47,75g 



18,227 
9,700 



27.471 



218 
22 



1,219 



11,263 
7,605 



207 
26 



1,161 
11,043 



681 
459 



6,471 
3,832 

11,402 
182 

(x) 
3,907 

(x) 

(x) 

(x) 

28,268 



2,425 
1,232 

4.302 



1,304 

734 

1,197 

4 

(x) 

710 
(x) 
(x) 
(x) 

5,072 



7,799 
2,102 
1,142 

3.758 



15,711 
9,480 



4,206 
2,261 



9,620 
35,989 
(x) 
(x) 
144 

4,256 



(x) 
(x) 



2,287 



17,461 
1,883 
1,444 
5,802 
1,678 

86,511 



3,362 

321 



1,011 
298 



9,096 



970 

641 

1,106 

3 

(x) 

579 
(X) 
Cx) 
(x) 

4,520 



1,717 
544 



6.681 



3,434 
(x) 



(x) 
21,386 



663 

1,547 

(x) 

(x) 

10 

27 



(x) 
(x) 



2,247 



2,990 
208 
58 
989 
275 

6,805 



2,098 

514 

2,222 

159 

(x) 

891 
(x) 
(x) 
(x) 

6,813 



8,282 
6,032 
7,072 

9,602 



47 
(x) 

(x) 

3,754 



558 

1,528 

(x) 

(x) 

10 

21 



(x) 
(x) 



75,735 
(x) 
3,758 
(x) 

14,168 

41,624 



7,366 
(x) 

825 
(x) 

560 

7,096 



5,391 
(x) 

822 
(x) 

510 

5,586 



2,409 
505 
302 

3,180 
417 

6,673 



2,364 
1,626 
3,805 
85 
(x) 
1,520 

(x)"" 



8,893 



1,308 
1,387 
1,059 

1,938 



52 
(x) 

(x) 

3,479 



(x) 



(x) 



582 

334 

511 

6 



1,350 

1,153 

966 

1,853 



4,481 
(x) 
(x) 

3,878 



50,354 



2,034 



2,342 
(x) 

1,550 
(x) 

25,865 

11,097 



153 

11 

13 

2 



22,191 
4,973 
6,355 
8,105 

JxL 



12,171 
(x) 



JxL 



3,456 
878 

1,122 
1,530 

JxL 



5,390 

14,527 
3,859 
2,767 
1,467 
510 
507 
(x) 
(x) 
2,402 
(X) 
1,014 
464 
(x) 
465 



1,378 
(x) 



JxL 



2,772 
900 
952 
952 

Jxl. 



443 

1,322 

1,146 

581 

280 

II 

35 

(x) 

(x) 

589 
(x) 

65 
55 
(x) 

55 



1,413 
(x) 

866 

98 

JxL 



111 
19 



3,487 
3,366 
1,855 
2,389 

JiL 



46,156 
(X) 
1,015 
(x) 

1,790 

17,610 



1,217 
(x) 
(x) 



6,537 



437 

1,614 

1,147 

679 

267 

19 

45 

(x) 

(x) 

480 
(x) 
85 
57 
(x) 

57 



5,014 
(x) 



JxL 



7,852 
2,060 
3,148 
4,550 

j£L 



5,038 
(x) 

237 
(x) 

130 

3,597 



588 

34£ 

565 

6 



1,856 



1,184 



4,553 



1,667 
(x) 



8,122 



43,594 



1,4^1 
338 
593 

1,120 

Jil 



4,132 
x) 

208 
x) 

102 

2,779 



985 

303 
692 
799 



JiL 



62 


1,589 


2 


(xj 


37 


1,795 


80 


1,937 


13 


317 


45 


1,002 


53 


1,460 


9 


171 


4 


(x) 


39 


(x) 


20 


469 


1 


(x) 


3 


27 


11 


255 


8 


(x) 


67 


1,064 



7,822 

30,815 
798 
930 
539 

(x) 
541 
325 

(x) 

(x) 



(x) 



(x) 
1,333 

3,757 



(x) 

2,033 



624 

2,367 
276 
157 
127 
(x) 
38 
17 
(x) 
(x) 



(x) 



504 

2,465 
241 
lAl 
96 
(x) 
34 
17 
(x) 
Cx) 



(x) 



1,095 



285 
660 
17 
19 
23 
28 
46 



486 
40 



123 
68 



See footnotes at end of table. 



INVENTORIES 



10.45 



Table lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS-^TATE, BY KIND OF BUSINESS: 1948— Coa 

Stoku, Sales, and Mbrchandue Invbntomu 



(Set tent for explanatory materiall 



Kind of busincM 



Virginia 



Large stores and multiunits 



Stores 



(Humbcr) 



Sales, 

entire 

year 

{Thousand 

dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



Beginning 
of year 

{Thousand 
dollars) 



Small single-unit stores 



Stores 
(J^umber) 



Sales, 

entire 

year 

{Thousand 

dollars) 



Waahington 



Large stores and multiunits 



Stores 



{T^umbcr) 



Sales, 
entire 
year 
{Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 
dollars) 



Beginning 
of year 

{Thousand 
dollars) 



Small singleninit •toco 



Stores 
{Humber) 



Sales, 

entire 

year 

{Thousand 

dollari) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores 

l^iry products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

All other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores .... 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores ; 

Floor covering, drapery stores 

Other home furnishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Lumber, buUdlng, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Xlquor stoces 

Second-hand stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

Florists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores .■ 

Camera, photographic supply stores 

Office, store machine ana equipment dealers . 
All other retail stores 



6,835 



1,597,2<46 



167,098 



1.42,419 



25,289 



630,161 



6,799 



1,650,689 



192,104 



170,392 



18.932 



1,423 



158 

1,009 

46 



421 
42 



142 
498 



77 
210 
211 



178 

157 

204 

23 

10 

127 

iJ 2 

7 

38 



283 
17 
23 

181 
9 

1,014 



724 
130 
132 
■28 

379 

542 



197 
29 
197 
119 



266 
39 



139 
13 

229 
96 
23 
15 
34 
19 
25 
9 
21 

'is 

10 
4 
33 



317,758 



12,867 



11,657 



13,526 

266,313 

6,440 

302 

3,192 

21,560 

1,314 

1,554 

3,557 

36,593 



758 

11,001 

113 

12 
148 
451 

40 
100 
244 

891 



826 
9,795 

105 
13 

135 

460 
41 
54 

228 

819 



9^939 



4,801 

3,948 

255 

145 

553 

27 

112 

37 

61 

4,439 



203,094 



35,194 
1,399 



24,567 



235,644 
I3$;i95 



834 
57 



47,980 
48,469 



118,830 



16,677 
7,440 
6,194 

19,444 



764 
55 



27,931 



25,221 
28,059 
42,233 
(X) 

527 
18,664 
(x) 

725 
2,362 

90,114 



58,406 
2,584 
4,501 

23,041 
1,582 

337,409 



5,700 
5,497 
4,540 
(x) 

98 

2,901 

(x) 

156 

524 

15,996 



16,5>5 
6,467 
5,239 

17,214 



3,585 
854 



1,540 
486 



54,052 

127,279 

6,277 

1,800 

6,335 

796 

3,252 

933 

2,370 

97,175 



1,603 



245 
1,059 
111 
12 
46 
56 
53 
9 
12 

672 



357 ,910 



78,794 
18,381 



15,999 



460 
212 



34,308 
282,944 

16,528 
1,005 
1,721 

16,497 
3,328 

(x) 



57,764 



15,461 



15,453 



350 
136 



11,284 
4,715 



33,1^73 



—5U 

J.71 



46,946 

10,818 



287,208 



2,301 

12,447 

255 

8 

UO 

238 

29 

(x) 



1,356 



11,061 

514 

398 

3,826 

197 

33,535 



4,953 
4,959 
3,912 
(x) 

38 

2,684 

(x) 

139 

451 

13,776 



231 

182 

206 

38 

30 

99 

50 

7 

52 



9,636 
7,825 
7,970 
(x) 

905 

4,130 

(x) 

304 

1,674 

28,683 



IW 

46 

163 

32 

22 

124 

6 

13 

9 



214 ; 278 
45,193 
27,737 

89,752 



847 
509 



41,431 



2,317 

12,405 

269 

7 

118 

235 

33 

(x) 

(X) 

1,392 



24,474 
8,343 

34,359 
1,026 
2,438 

16,343 

(x) 
1,610 

(x) 

79,734 



29,845 
6,915 
4,671 

16,891 



885 
507 



1,701 
40,000 



29,007 
6,795 
4,198 

15,336 



6,630 
2,006 
4,117 
48 
310 
3,137 
(X) 

456 
(x) 

15,675 



5,869 
1,830 
3,564 
41 
320 
3,102 
Cx) 

468 
(x) 

13,296 



9,911 
393 
338 

2,967 
167 

24,338 



311 

50 

209 

277 

37 



283,475 

32,869 

15,947 

5,118 

30,235 

137,150 



27,180 

2,458 

3,121 

776 

1,518 

24,345 



19,142 
1,848 
2,597 

. 751 

l;3l7 

19,503 



170 
107 
187 
44 

3,704 

559 



12,386 
1,493 
3,208 

10,801 
■ 795 

21,981 



192 
24 
18 

180 



62,068 

3,908 

41,930 

29,244 

51,530 



48,850 
2,680 

90,297 

1,031 

126,088 
-it— 
(x) 

59,838 
14,363 
3,416 
1,847 
2,320 
1,380 
2,095 
455 
2,909 

1,262 

1,085 

551 

1,446 



9,218 

781 

9,175 

5,171 

5,937 



5,615 
322 



3,305 



15,418 



7,385 

645 

7,786 

3,687 

5,476 



59 
136 
292 

72 



10,139 
4,302 
6,342 
1,198 

95,451 

23,436 



126 

100 

36 

355 

696 



47,329 
5,011 
3,342 

22,729 
1,323 

334,028 



10,553 
790 



3,875 
369 



36,957 



2,529 

4,641 

12,411 

3,855 

25,547 



334 
74 
152 
136 



291,515 
21,779 
13,323 
7,411 

33,600 

145,189 



5,160 
316 



3,370 



13,864 



(x) 

(x) 

5,975 

4,289 

646 

432 

71 

80 

158 

138 

624 

188 
117 
142 
206 



"ra — 

Cx) 

5,779 

3,875 

619 

360 

62 

98 

148 

106 

555 

190 
UO 
136 
208 



375 
189 



1,475 



17,977 
7,570 



43,475 



236 
13 



203 
47 



64,912 
10,315 
27,932 
42,030 

40,497 



30,388 
1,998 
2,582 
1,989 

1,820 

28,310 



9,059 
554 
106 

3,253 
324 

27,444 



22,269 
1,555 
2,488 
1,132 

1,528 

23,302 



219 
30 

177 

216 
52 
54 

165 
25 
93 

134 
60 
6 
24 
32 
34 

154 



(x) 
8,272 
6,349 
1,692 
1,693 
3,834 
577 
2,156 
1,810 
1,644 
257 
855 
1,209 
1,105 
3,685 



39,784 
713 



2,028 
162,989 



10,658 
1,800 
7,157 
8,695 

6,425 



8,739 
1,661 
6,425 
6,477 

5,851 



6,316 
109 



4,995 



20,606 



5,757 
94 



4,281 



20,526 



194 

3 

199 

73 

38 

35 

26 

42 

3 

8 

26 

5 

7 

17 

4 

47 



50,092 

(x) 

64,825 

17,763 
9,408 
5,075 
2,014 
2,895 

Cx) 

CM 
3,945 
466 

Cx) 
1,744 

Cx) 
2,314 



2,U8 
Cx) 
7,285 
5,576 
1,670 
1,269 
95 
230 
Cx) 



(x) 

5 
Cx) 



909 
115 



2,084 
(x) 
7,781 
5,416 
1,733 
1,244 
96 
190 
Cx) 
CM 
720 
122 
Cx) 

393 
Cx) 
337 



4,615 



2,019 
1,617 
325 
92 
)34 
82 
>48 
15 
84 

4,672 



2,822 
1,850 



164 
278 



207 
60 

280 
26 
22 

113 
99 
26 

106 



217 
75 
95 

291 
79 



112 

187 

169 

82 

3,195 

871 



"isr 

232 
398 

53 



504 
94 



321 
1,855 



8 

149 

280 

84 

222 

210 

100 

19 

165 

93 

16 

13 

26 

36 

220 



570.617 



1?7 ,?&8 



57,478 
68,855 
13,681 
2,883 
2,086 
2,703 
7,343 



119,736 



67,586 
52,150 

2,800 

12,425 



5,513 

6,912 



28,698 



8,359 
2,278 
8,570 
321 
248 
4,532 
Cx) 

937 
Cx) 

24,344 



7,374 
2,603 
1,468 
10,855 
1,544 

23,026 



6,512 
8,060 
5,615 
2,739 

89,059 

34,472 



8,359 
7,597 
15,103 
2,413 

26,183 



23,445 
2,733 



1,156 
4,311 



46,839 



7,468 

Cx) 
6,701 
7,253 
2,310 
4,768 
4,206 
1,949 

Cx) 

C) 
2,647 
430 

Cx) 
931 

(X) 
4,339 



See footnotes at end of table. 



10.46 



RETAIL TRADE— GENERAL STATISTICS 



Tabic lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MUUnUNITS— STATE, BY KIND OF BUSINESS: 1948— Coa 

Stores, Saus, and Merchanddb Invbntouu 
[See text foe explanatory mateml] 



Kind 01 business 



West Virginia 



Large stores and multiunits 



Stores 
(7s(umber) 



Sales, 
entire 
year 
(Thousand 
dollars) 



Merchandise inventories, 
at cost 



End of year 

{Thousand 

dollars) 



Beginning 
of year 

{Thousand 
dollars) 



Small single'Unit stores 



Stores 
(J^umber) 



Sales, 

entire 

year 

{Thousand 

dollars) 



Large stores and muJtiunits 



Stores 
(dumber) 



Sales, 
entire 
year 
(Thousand 
dolldTs) 



Merchandise inventories, 
at cost 



£nd of year 

{Thousand 

dollars) 



Be^nning 
of year 

{Thousand 
dollars) 



Small single'imit stores 



Stores 



(Number) 



Sales, 

entire 

year 

{Thousand 

dollars) 



State, total 

Food group 

Grocery stores, without fresh meat 

Grocery stores, with fresh meat 

Meat markets, fish markets 

Fr\iit stores, vegetable markets 

Candy, nut, confectionery stores 

Ifeiry products stores, milk dealers 

Bakery products stores 

Egg, poultry dealers 

/QI other food stores 

Eating and drinking places 

Eating places 

Drinking places 

General stores 

General merchandise group 

Department stores 

Dry goods, general merchandise stores 

Variety stores 

Apparel group 

Men's, boys' clothing, furnishings stores 

Family clothing stores 

Women's ready'to-Twear stores 

Millinery stores 

Other apparel accessory, specialty stores .... 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 

Furniture, furnishings, appliance group 

Furniture stores 

Floor covering, drapery stores 

Other home famishing stores 

Household appliance stores 

Radio stores 

Automotive group 

Motor vehicle (new and used) dealers 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 

Gasoline service stations 

Luinl>er, building, hardware group 

Lumber yards, building materials dealers 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 

Drug and proprietary stores 

Drug stores 

Proprietary stores 

Liquor stores 

Second-band stores 

Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, hrm^ garden supply stores 

Jewelry stores 

Book, stationery stores 

Sporting goods stores, bicycle stores 

IHorists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores .■ 

Camera, photographic supply stores 

Office, store machine and equipment dealers. 
All other retail stores 



i,3U 



879 



96 

6i8 

20 

2 

52 

AO 

11 

3 

7 



73 



35 
lai 

115 



85 
1(W 
1A8 

14 

13 
102 

11 
3 

13 



211 
10 
10 

138 
2 



464 

91 

80 

5 



101 
52 
96 
2A 



107 
31 



9 

1 

102 

57 

12 

7 
25 
13 
20 

4 
18 

9 
2 

1 
20 



906,664 



103,683 



87,185 



16,921 



381,319 



9,804 



2,165,028 



243,059 



217,292 



36,696 



179,392 



IT) 
149,275 
2,680 
(x) 
1,398 
7,755 
615 
(x) 
3,180 

13,822 



8,789 



7,365 

59 

(x) 

102 

111 

15 

(x) 

193 

432 



6,606 



12,095 
1,727 



77,191 
139,214 



65,907 
33,379 
39,928 

73,019 



"3?f 
84 

11,445 

18,llj6 



263 
89 



2,778 
3,181 
36 
85 
362 
48 
73 
18 
25 

4,240 



136,041 



2,105 
2,135 



94,234 
1,376 

(x) 
4,112 
1,618 
1,821 

(x) 
484 

64,366 



2,097 



244 
1,294 

187 
16 
97 

175 



438,861 



17,433 



8,622 
5,554 
3,940 

U,303 



10,162 
15,758 



7,393 
4,818 
3,547 

9,870 



37,625 
26,741 



12,897 
12,493 



360 
308 



32,050 
297,662 

31,732 
3,896 
6,225 

55,295 

(1) 

(M 
5,562 

50,705 



2,106 
12,931 
597 
144 
309 
946 

(^) 
352 

2,161 



17,438 



32,724 
17,981 



342,173 



9,954 
2,539 



22,343 



194 
221 



17,797 
13,043 
26,959 
(x) 

1,550 
10,708 

1,104 
(x) 

1,078 

57,527 



3,564 

2,484 

2,755 

(x) 

154 

1,967 

114 

(x) 

192 

11,139 



41,475 
1,620 
M 

11,949, 
(x) 

187,607 



154,472 
23,365 
8,446 
1,324 

13,884 

62,715 



8,682 
299 
(x) 

1,945 
(x) 

18,691 



2,978 

2,280 

2,410 

(x) 

126 

1,751 

83 

(x) 

184 

9,113 



145 
145 
152 
24 
13 
68 
15 
4 
44 



36,645 
4,510 

18,148 
3,412 

18,514 



15,037 

1,620 

1,896 

138 

861 

11,163 



7,240 
266 
(x) 

1,437 
(x) 

13,362 



179 
28 
43 

209 
30 



6,207 
5,794 
5,682 
(x) 
225 
2,531 
222 
(x) 
1,287 

17,562 



196 
84 

264 
36 
58 

174 
4 
37 
16 



238,673 
57,735 
45,765 

14A,304 



859 
1,302 



42,461 



2,009 

12,942 

616 

127 

309 

920 

(M 

(M 

415 

2,355 



7,508 



10,801 

1,035 

1,403 

123 

703 

8,767 



96 

92 

123 

23 

2,000 



7,288 
976 
(x) 

7,886 
(x) 

13,579 



237 
31 
18 

304 
19 

1,474 



35,079 

15,949 

61,583 

968 

2,741 
22,303 
(x) 

4,409 
(x) 

95,138 



28,200 
8,242 
6,019 

23,128 



941 
1,414 



4,775 
43,908 



1,901 
3,664 
533 
64 
397 
213 
617 
16 
103 

13,798 



3,073 
10,725 



5,756 

3,426 

3,611 

786 

50,255 

14,404 



1,194 
145 
101 
34 

431 



48,453 
5,365 
3,152 

35,213 
2,955 

451,704 



7,932 
3,253 
6,044 
42 
347 
4,310 
(x) 

788 
(x) 

17,544 



30,763 
7,234 
5,911 

20.317 



389,296 
38,272 
16,790 
7,346 

34,428 

288,787 



9,952 
1,039 

425 
5,608 

520 

44,690 



6,807 
2,755 
5,564 
31 
290 
3,874 
(x) 

762 
(x) 

15,296 



37,873 
2,530 
3,284 
1,003 

2,447 

50,109 



9,076 
692 
315 

4,775 
438 

37,019 



5,906 
799 

3,657 
801 

2,659 



15,671 
2,843 



46,902 



(x) 
JxL 



1,003 
(X) 
16,657 

7,540 

2,378 
(x)- 

1,899 
772 
923 
(x) 

2,169 

426 



2,348 
311 

3,678 

(x) 

Jxl 



4,370 
664 

3,225 
508 

2,374 



57 
129 
202 

18 



43 
(x) 
1,497 
1,937 
527 
(x) 
68 
116 
62 
(x) 
469 



2,099 
275 

3,940 

(x) 

(x) 



1,943 

3,948 

7,611 

902 

14,628 



673 
166 
287 
400 



243 
95 



833 



11,450 
3,178 



29 

(x) 
1,336 
1,742 
457 
(x) 
59 
59 
52 
(x) 
383 



53 



53 



(x) 



(x) 



21 

9 

117 

181 

27 

45 

79 

34 

67 

77 

35 

4 

21 

11 

21 

84 



500 
(x) 
4,664 
4,981 
861 
(x) ■ 
2,060 
435 
1,560 
(x) 
1,104 
117 
625 



(x) 



253 
12 



12 
1,153 



149,633 
20,591 
52,829 
65,734 

39,858 



184 

5 
612 
84 
24 
31 
14 
39 

9 
17 
32 

7 
10 
17 

6 
62 



38,280 
1,578 



7,857 



535 
238,124 



25,450 
2,766 
10,389 
11,504 

4,457 



31,122 

1,995 

3,040 

862 

2,107 

40.524 



66,369 

577 

128,907 

10,165 

5,388 

3,992 

(M 

4,098 

793 

4,222 

4,668 

783 

(x) 

2,162 

660 

3,854 



4,288 
169 



1,149 



32.359 



20,370 
2,357 
9,227 
8,570 

4,155 



4,030 
125 



28,062 



12,101 

92 

11,239 

3,751 

1,200 

858 

("■) 

260 

40 

337 

938 

169 

(x) 

464 

147 

698 



8,831 

97 

11,271 

3,232 

1,181 

746 

(1) 

272 

32 

253 

348 

182 

(x) 

370 

99 

596 



228 
196 

1,684 



359 
106 
349 
103 
76 
410 
89 
61 
131 

1,339 



335 
123 
127 
636 
118 



347 
145 
267 
108 

4,129 

2,094 



186 
503 
936 
469 



828 
98 



233 



2,904 



1,075,693 



275.107 



53,151 
158,842 

24,166 
2,751 
6,724 
8,533 

(') 

(M 
2,333 

283,338 



70,769 
212,569 



15,723 



8,947 
6,776 



51,591 



14,623 
3,969 

11,295 
1,328 
1,460 

12,293 

Cx) 
2,473 

(x) 

45,004 



14,488 
4,156 
2,223 

21,280 - 
2,857 

38,115 



20,907 
5,973 
8,286 
2,949 

117,727 

89,975 



10,032 
16,503 
38,357 
25,083 

42,737 



39,490 
3,247 



15,249 
2,796 



82,772 



319 


13,229 


72 


994 


329 


16,042 


457 


13,316 


73 


1,910 


282 


6,985 


247 


(') . 


124- 


3,399 


47 


1,244 


260 


3,674 


127 


3,107 


22 


813 


11 


(x). 


50 


1,662 


48 


1,373 


436 


8,497 



See footnotes at end of table. 



I 



INVENTORIES 



10.47 



Table lOF.— MERCHANDISE INVENTORIES OF LARGE STORES AND MULTIUNITS-^TATE, BY KIND OF BUSINESS: 1948— Coa 

Storbs, Sales, and Mbrchandub Invbntoriu 

[See text for explanatory material) ^ ^ ^_^ 



Kind of business 



Wyoming 



Large stores and multiunits 



Stores 
(Number) 



Sales, 

entire 

year 

(Thoiudnd 



Merchandise inventories, 
at cost 



End of year 

(TTunudnd 
dollart) 



Beginning 
of year 



Small singlemnit stores 



Stores 
(Number) 



Sales, 

entire 

year 

(Thoumnd 

ioWan) 



State, total. 



Food group 

Grocery stores, without fresh meat. 
Grocery stores, with fresh meat . . . . 

Meat markets, fish markets 

Fruit stores, vegetable markets 

Candy, nut, confectionery stores. . . 
Dairy products stores, milk dealers . 

Bakery products stores 

Egg, poultry dealers 

AjT other food stores 



Eating and drinking places. 

Eating places 

Drinking places 



General stores . 



General merchandise group 

Department stores 

Dry goods, general merchandise stores. 
Variety stores 



Apparel group 

Men's, boys' clothing, furnishings stores . 

Family clothing stores 

Women's ready-to-wear stores 

Millinery stores 

Other apparel accessory, specialty stores . 

Shoe stores 

Custom tailors 

Furriers, fur shops 

All other apparel stores 



Furniture, fiu-nishlngs, appliance group. 

Furniture stores 

Floor covering, drapery stores 

Other home mmishing stores 

Household appliance stores - 

Radio stores 



Automotive group 

Motor vehicle (new and used) dealers. 

Motor vehicle (used) dealers 

Tire, battery, accessory dealers 

All other automotive dealers 



Gasoline service stations . 



Lumber, building, hardware group. 

Lumber yards, building materials dealers . 

Plumbing, paint, electrical stores 

Hardware stores 

Farm equipment dealers 



Drug and proprietary stores. 

Drug stores 

Proprietary stores 



Liquor stores 

Second-hand stores. 



Other retail stores 

Fuel, fuel oil dealers 

Ice dealers 

Feed, farm, garden supply stores 

Jewelry stores 

fiook, stationery stores 

Sporting goods stores, bicycle stores 

norists 

Cigar stores and stands 

News dealers, newsstands 

Gift, novelty, souvenir stores 

Music stores 

Luggage, leather goods stores 

Optical goods stores .- 

Camera, photographic supply stores 

Office, store machine and equipment dealers . 
All other retail stores 



1,223 



184 



19 

150 

-4 

2 
6 
3 



194 

19 



221,514 



29,318 



23,544 



43,857 



1,837 
39,562 
(x) 

(x)"" 
1,408 
(x) 



10,581 



2,594 



193 
2,292 
(x) 

(x)'" 

10 
Cx) 



2,470 



194 
2,113 
(x) 

tx)"" 
12 
(x) 



6,527 
4,054 



7,300 



21,085 
6,442 



126 
325 



1,104 
3,392 



116 
349 



1,027 

3,010 



10,173 
4,470 



9,462 



2,205 
3,704 
2,650 

(x)' 
6 
(x) 
(x) 



10,182 



1,031 

1,705 

656 

2,373 



1,020 

1,439 

551 



650 
984 
489 



478 
650 
412 



5,582 
(xj 
(x) 

4,390 
(x) 

57,908 



(x) 

1 
(x) 
(x) 



2,358 



52,406 
4,080 
(x) 
(x) 

11,553 

29,957 



1,475 
(x5 
(x) 

826 
(x) 

6,891 



(x) 

1 
(x) 
(x) 



1.746 



1,116 
(x5 
(x) 

598 
(x) 

4,865 



17,462 
1,476 
4,332 
6,687 

JxL 



6,085 
386 
(x) 
Cx) 

747 

6,554 



6,384 
(x) 

2,112 

(x) 

11,095 



3,807 

293 

1,048 

1,406 

JxL 



4,269 
274 
(x) 
(x) 

635 

5,018 



1,453 

6,202 
950 

(x) 
717 

(x) 
466 



1,121 
(x) 

207 

Cx) 

1,520 



3,079 
227 
885 
827 

JxL 



890 
(x) 

199 

Cx) 

1,433 



158 



Cx) 

2 
Cx) 



531 
273 



Cx) 



Cx) 
Cx) 



Cx) 



258 



Cx) 
Cx) 



Cx) 



Cx) 
Cx) 



Cx) 



158 

499 
252 

) 

191 
) 
22 

65 



2,64b 



477 



113 

266 

7 



411 
279 



87,685 



16,757 



2,713 

11,494 
Cx) 

61 
Cx) 

715 
(x) 
Cx) 
Cx) 

19,447 



9,853 
9,594 



334 

1,438 



594 
844 



5,568 



1,676 

500 

1,433 

55 

Cx) 

948 
Cx) 
Cx) 
611 

3.698 



1,392 
CxS 
Cx) 

1,787 
Cx) 

4,614 



2,451 
791 
Cx) 
Cx) 

16,455 

6,075 



757 
1,869 
2,517 

932 

Jxl_ 



2,260 
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1,801 

Cx) 

7,754 



442 

27 

944 

1,506 

Cx) 
678 

Cx) 
455 
239 
495 

Cx) 

Cx) 

Cx) 
155 

Cx) 

Cx) 



X Withheld to avoid disclosure. 

^ Not shown separately because of Insufficient data. 



CREDIT 



CONTENTS 



Table 



Page 



llA Analysis of Cash and Credit Sales and Balances Due — United States, by Kind of Business, 1948 11.02 

IIB Analysis of Cash and Credit Sales and Balances Due by Legal Form of Organization — United States, by Kind of 

Business, 194-8 11.04 

lie Analysis of Cash and Credit Sales and Balances Due for Single and Multiunits — United States, by Kind of 

Business, 1948 11 .10 

IID Analysis of Cash and Credit Sales and Balances Due by Sales Size — United States, by Kind of Business, 1948.. 11.20 

llE Analysis of Cash and Credit Sales and Balances Due — Geographic Division, by Kind of Business, 1948 11.30 

New England 11.30 West North Central 11.36 West South Central 11.42 

Middle Atlantic 11.32 South Atlantic 11.38 Mountain 11.44 

East North Central 11.34 East South Central 11.40 Pacific 11.46 

llE Analysis of Cash and Credit Sales and Balances Due for Large Stores and Multiunits, and Sample of Small 

Stores — Geographic Division, by Kind of Business, 1948 11.48 

New England 11.48 West North Central 11.54 West South Central 11.60 

Middle Atlantic 11.50 South Atlantic 11.56 Mountain 11.62 

East North Central 11.52 East South Central 11.58 Pacific 11.64 

110 Analysis of Cash and Credit Sales and Balances Due for Large Stores and Multiunits — State, by Kind of 

Business, 1948 11. 66 



Alabama 11.66 

Arizona 11. 67 

Arkansas 11. 68 

California 11.69 

Colorado 11.70 

Connecticut 11.71 

Delaware 11. 72 

District of 

Columbia 11.73 

Florida 11.74 

Georgia 11. 75 

Idaho 11.76 

Illinois. 11.77 

IIH Analysis of Cash and Credit 
politan Areas, by Kind 

Akron, Ohio 

Albany -Schenectady-Troy, 

N.Y 

Allentown-Bethlehem-Easton, 

Pa 

Atlanta, Ga 

Baltimore, Md 

Birmingham, Ala 

Boston, Mass 

Bridgeport, Conn 

Buffalo, N.Y 

Canton, Ohio 

Charleston, W.Va 

Chattanooga, Teim 

Chicago, 111 

Cincinnati, Ohio 

Cleveland, Ohio 

Columbus, Ohio 

Dallas, Tex 

Davenport, Iowa-Rock Island- 

Moline, 111 

Dayton, Ohio 

Denver, Colo 

Des Moines, Iowa 

Detroit, Mich 

Duluth, Minn. -Superior , Wis . 

Erie, Pa 

Flint, Mich 

Fort Worth, Tex 

Fresno, Calif 

Grand Rapids, Mich 

Harrisburg, Pa 

Hartford, Conn 



Indiana 11.78 

Iowa 11.79 

Kansas 11.80 

Kentucky 11. 81 

Louisiana 11.82 

Maine 11.83 

Maryland 11.84 

Massachusetts 11.85 

Michigan 11.86 

Minnesota 11.87 

Mississippi 11.88 

Missouri 11.89 

Montana 11. 90 



Nebraska 11. 91 

Nevada 11.92 

New Hampshire 11.93 

New Jersey 11.94 

New Mexico 11.95 

New York 11.96 

North Carolina. .. . 11.97 

North Dakota 11.98 

Ohio 11.99 

Oklahoma 11.100 

Oregon 11.101 

Pennsylvania 11. 102 



Rhode Island 11.103 

South Carolina 11.104 

South Dakota 11.105 

Tennessee 11.106 

Texas 11.107 

Utah 11.108 

Vermont 11.109 

Virginia 11.110 

Washington 11.111 

West Virginia 11.112 

Wisconsin 11.113 

Wyoming 11.114 



Sales and Balances Due for Large Stores 
of Business, 1948, 
11.115 



and Multiunits — Selected Standard Metro- 



11.115 



Houston, Tex 11 

Huntington, W.Va. -Ashland, 

11.115 Ky 11 

Indianapolis, Ind 11 

11.115 Jacksonville, Fla 11 

11.115 Johnstown, Pa 11 

11.116 Kansas City, Mo 11 

11. 117 Knoxville, Tenn 11 

11.117 Lancaster, Pa 11 

11.118 Los Angeles, Calif 11 

11.118 Louisville, Ky 11 

11.119 Memphis, Tenn 11 

11.119 Miami, Fla 11 

11.120 Milwaukee, Wis 11 

11.120 Minneapolis-St.Paul, Minn.. 11 

11.121 Mobile, Ala 11 

11.121 Nashville, Tenn 11 

11. 122 New Haven, Conn 11 

11.122 New Orleans, La 11 

New York-Northeastern New 

11.123 Jersey 11 

11.123 Norfolk-Portsmouth, Va 11 

11.123 Oklahoma City, Okla 11 

11.123 Omaha, Nebr 11 

11.124 Peoria, 111 11 

11.125 Philadelphia, Pa 11 

11.125 Phoenix, Ariz 11 

11.125 Pittsburgh, Pa 11 

11.125 Portland, Oreg 11 

11.126 Providence, R.I 11 

11.126 Reading, Pa 11 

11.126 Richmond, Va 11 

11.126 



,127 Rochester, N.Y 

Sacramento, Calif ., 

,127 St. Louis, Mo 

,127 Salt Lake City, Utah 

, 127 San Antonio, Tex 

,128 San Bernardino, Calif 

,128 San Diego, Calif 

,128 San Francisco-Oakland, 

128 Calif 

,129 San Jose, Calif 

130 Scranton, Pa 

130 Seattle, Wash 

130 South Bend, Ind 

130 Spokane, Wash 

131 Springfield-Holyoke, Mass. 

132 Stockton, Calif 

132 Syracuse, N.Y 

132 Tacoma, Wash 

132 Tampa-St. Petersburg, Fla.. 
Toledo, Ohio 

133 Trenton, N.J 

134 Tulsa, Okla 

134 Utica-Rome, N.Y 

134 Washington, D.C 

134 Wheeling, W.Va.-Steuben- 

135 ville, Ohio 

136 Wichita, Kans 

136 Wilkes-Barre-Hazleton, Pa. 

137 Wilmington, Del 

137 Worcester, Mass 

137 York, Pa 

138 Youngstown, Ohio 



11.138 
11.138 
11.138 
11.139 
11.140 
11.140 
11.140 

11.140 
11.141 
11.142 
11.142 
11.142 
11.142 
11.143 
11.143 
11.143 
11.143 
11.144 
11.144 
11.144 
11.144 
11.145 
11.145 

11.146 
11.146 
11.146 

11.147 
11.147 
11.147 
11.147 



P. 0. 



31 - R 



11.01 



11.02 



RETAIL TRADE-GENERAL STATISTICS 



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CREDIT 



11.03 



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RETAIL TRADE-GENERAL STATISTICS 



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RETAIL TRADE-GENERAL STATISTICS 



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11.12 



RETAIL TRADE-GENERAL STATISTICS 



^ 1. 



( ^ o^ t^ \o \D a^ c 



C^ ON 00 
\0 -yt >-* 
CTi CSl > 



C^ CJv 00 >!■ O O 



\ CO r- t- 'D -nT 



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to C^ ,H 



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O c- NO O ir\ o^ rH 



CM^COHOOOO OOOi-lrH 



vD >*■ H vO en rH rH 



i 



inoNvOvOi-HC^ inoNin^vom hcmon 
CMCMONinom ^tomnfHO TOm^ 

r\cMr^oc^cMO■^J■^^^ ^ 



r\HCMCOCMCM HHOCMONON 

vDtsDOocyino rHvQmo-sr&> .... .«,,^ 

intovo-vi-c~-iri ■^•4■c^^nI>co nto^-j^ 

Oin>n£;rym Nj-avst->i-v4-ii 



n c^ \o m CM 



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•c^ c^>t[no*voto c^or- 



r- f- CD f 
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c^ c\i c^ 



C^ to rH rH 



V CM O NO NO 

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F O C^ O H 



jo\t>cosf oc^rncjNO 



\ CM CM 00 03 



m CO -4- c^ -.t co c^ iri cm 



C^C3N tnc>^C^CMU> 



n O CM CM iTi 



CMOCMCMcniTi -XJOtnw-iC 

OnO^i-cmh Nocnncg 



mQinOOif\H nOCMC^OnOn 
00NDCMvOCOt> -4■C^^nCON0C 



to ■'f >f CM Q CM 

f*^ tfS CO NO NO nO 

^ vO O C-- H to 



COONC^HCOO ND^OO(^^ntO ^-C^OC^C--'0 



) NO P^ O tn u~\ t> 



H nD -4- CM r-H 



Nf CM H C- sf 

<y> CM Np c^ CO 

CM ON -^ C- NO 



i-4-HNONoeo r-^cMc^c-NO-* d-nohoc^c- 



O NO ^ CM I 
to rH so CM 

in -«t H 



if\ «o to to O - . 

a^ C> -< C^ CO to 
C- CM -J- " 



M CM rH rH l> O <■ 



CM c^ ^^ CM en 



f) O NO ^ rH 



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\ ^ ^ -.J- 
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C--t>ONC^[>in CM-4-toc3t 
tocM<nsrin>A cmcoco^on 



NO C*\ CM H [> m rH 

c^ -Nt c^ m c^ tn CM 
nD CO o i>- m CO »ri 



O ON rH tTl NO ON 



N>J■■sJ■tOC^^O COOnCOnOOnCM 



tn rH rH ON lf\ c^ -4- 



S3-^' 



33 



OOONOONNr OC^mONCMrH 
tnmrNicMcnm CMCMc^lf^^noo 
tocoovoiTico c^mrH 



H m f- m H CM 



» On rH O rH ON O n 



NOvOOD-HrH 0Nir\NfOtnC 

oomif\Hto»A D-incMOCO- 

iHtOnCMO'H rHCOC^H r 



H C-- n rH H O NO 



O >i; O ' 
CM ^ S C 



NO ^ CM NO CO CO on 



c^cMmcMNOC^ cncMrHiniTirH cMmr-ONOco 

-^OE^vOOVrH HC^-^COC^NO vOCOC-^-^CO 
OCMl>-r-ONO -d-tnOO*00* CMHOtOOrH 



t> O t> CM O C 



to o n CM m 



C^ NO O -St H 



HCMONCOrHO iTiNDONCMNDH CMHHONC^>n 
CUCOOCOOm OND-rHC^ONin COrHC^CM[>N0 
ONCMC--NOmNO cnocnC^CMCM C^CM^-'0■^ND 



ON I> CM U 
ON NO m u 

>j- c^ if\ c 



1 o ^ -* o en ^ tn 



rH C^ rH NO NO 00 



H 00 CM H 



(rHHCM Omt>CMCMCM 



c^ NO 03 CO o 
c^ en CO ^ o 

■Nt rH ON -J C- 



>t CM CM rH t 
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•>!■ ^ c^ lo ( 

C^NO" 



CM c^ en o ->t CT* 
^- NO Q ir\ c> m 
CI* m -5- tn CM iTi 



rH ON H t^ C 



) NO H CO CO --t C^ 



■>t n t> 
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\0 c- c 

lA rH t 

lA CTN r 



\nOCocoo CMC^nc^(HO 
, .ii>CMto\o ^ocn^j^in 
cnoencMOO NDCT-c-cnrHCM 



OrHONNOCOU-v OnC-CMnOOnC^ C^^l 

cjNNDCMcnNDCM rHNOu-ic^rnen r-c 

tjNCMr-£>rHOO ND^OC^^AlAC0 COr 



) O t> CM rH to C 



NO en CM rH 



\C-Ot>- ■>tCMrH>i-eM^ COtOO^Ow 

\en»n»o c^oc^covD^ ONO->j-tMrH 
< o -5 NO m c" CM 



i 



\ CJN rH 



H NO in m o o 


rH ON CM C^ £> to 


r- 


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nd rH ^ H en en 






*°^^CJN "^"^ f^ 




c^ CM o CM c^ 



t>ni^nooc^co CMinD-ONin 

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inoincM-vtt> CMCMOmnj 



m NO -^ CM CM <n C-- 
c^ t> o r- rH 00 c- 



i OJ ^ C^ CM u 



rH ejN CM m rH nO 



H D- NO en r- 



r-i nO On vO 1-H 



iNOmoomcM ent>\om■^tc^ NOONc-mrHr 

!NOC-NDmi> comcMCJNC^cn cMiAvo^jrHr 
C-COHvDO miAOCMcntn OCMt>OCMU 



\ c^■>5 



Nt CO vO t> O t 



1 O ^ rH ^ O Nt r 



) O CM CO CT- C^ O NO C 



ONCOHrHCMtO ^tnHCMCMt^ 

tocMNO(^^CM otocy-d-CNjin 
■vj-cMCMONC-m ovocnenenNO 



O rn NO H 



c- ON o c^ CO r 

en vO >i- CM CO c 

in f> -^cn r-{ r 

Nt r\J rH H 



H -sf \o t> cn NO 



rH CM -^ NO rH 
C^ H H CM I> 



1 nD D- rH ->t rH 



t> ON CO CM H e 



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^ O NO ::f ON 

N cn en cn m 



rH Nt r- en N 
en -3- to >!■ »i 

< CM rH 



1 --i- CO en nj r-t 
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) to rH H in NO 



St to »n rH rH 



l>-en>tI>-iAO ONU 



IrH-Nj- ^O>t[>C0t0 St 



>i-0 njvOvD^mC 
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-* " - CM cr> e 



Nt en O t> NO 



■^ ^ o ON c^ CM 
enoenNfCMin _ . 
CMOO^trHint-- CM^^OO^rH 



( ^ en NO C-- Nt c 

) ir\ rH (Js rH rH r . 

) CM ON to O \0 O ( 

r^ 00 H E^ rH rH ^ 



;43^ 



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CO +J 3 

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cd -ri _a 

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11.14 



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nD 


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3 




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11.28 



RETAIL TRADE-GENERAL STATISTICS 




CREDIT 



11.29 







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11.40 



RETAIL TRADE-GENERAL STATISTICS 



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11.42 



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ON 


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t> 


f^ C^ 


C( 


ON 


t\ 





vO 0-, 




[> 


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m sr xo 


a 


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H 


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s 




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1 




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nj 


X nj -vJ-H rHrH rH rH 


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m 


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s 


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vf 


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s 










































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11.46 



RETAIL TRADE-GENERAL STATISTICS 



a :S 



t^ il-S 



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o :> t> i. 

CT- ^O a^ C 



OO ITv r-) 
>T O f^J 



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c^ o u-i f^ u-» rH 

CO o m rg r^ [> 



i cr* ^ io ^ iH 
^ CO o ^ '-0 CT' 
■i in o fNJ -^r £> 





u-\ 




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R"^^ 



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O^ t> >f (N t 
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^O *D CM ON Oi 
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CO c^ CM c\j 






:&; 



CM rH t> CO (H O r 
OS U-\ ir, ry 0^ CO ij 

m m CO CO c sD n 



\0 v^ o 

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3o> 
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■~i f. r^ O ^ 
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vO f-i CM 



r vD o \o 'O 



CO -sf >r CO (M 
I> O^ CM m O 
-sf >!■ u-\ r^ H 



^^OtoOc\(c^r^r-^<MH 

JrHCT^-vJ-^O^m^J-OJO 

)fna)m:>>fr-rHr-io 



■ r>j o> CM c^ I 



O CM CM O -O 



^-- CM 



CO C- O CM 



a CM (M O CM 

CM [> CO CO .-I -J- 

■ ■-* 00 r- in o 



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c-oo^-^o^soo^f-cMm 



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— c-^r-iCOOJC^C^OO 



3^ 



vo so r~- 1 
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CO O ^ (n O sO I. 
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->trvjr-Oi-ir^coc 



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to t> rn CO 
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4 



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11.47 



I 
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ry ^0 C^ 
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t-- o\ o 

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rH iH rH (M N t^ 



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CO O lA On (M 

m r^ rH O NT 

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CO CO O [> (M 



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in c\j ir> to ON 



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to ON -J ( 

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a- n 



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11.48 



RETAIL TRADE-GENERAL STATISTICS 



00 



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2 


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r- 


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t^ 


TO 


(^ 




m 


o 


(JN 


n m 


r-i 


rH r- 




lA 


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m 


Nt 


O^ 


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in 


m 


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nj 


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Nt 


NO TO NO cn 




in 


nd n CM rn 




incnfHincn <■ ^ -onto 
CMNOfMfsjr^ "in •fym 








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11.54 



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